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| bozhena bidyuk: Advances in Artificial Intelligence Yang Xiang, Chaib-draa Brahim, 2003-08-03 This book constitutes the refereed proceedings of the 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, held in Halifax, Canada in June 2003. The 30 revised full papers and 24 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on knowledge representation, search, constraint satisfaction, machine learning and data mining, AI and Web applications, reasoning under uncertainty, agents and multi-agent systems, AI and bioinformatics, and AI and e-commerce. |
| bozhena bidyuk: Computational Combinatorial Optimization Michael Jünger, Denis Naddef, 2001-11-21 This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxation approaches. Polyhedral combinatorics as the mathematical backbone of successful algorithms are covered from many perspectives, in particular, polyhedral projection and lifting techniques and the importance of modeling are extensively discussed. Applications to prominent combinatorial optimization problems, e.g., in production and transport planning, are treated in many places; in particular, the book contains a state-of-the-art account of the most successful techniques for solving the traveling salesman problem to optimality. |
| bozhena bidyuk: Constraint Processing Rina Dechter, 2003-05-05 Constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. In Constraint Processing, Rina Dechter synthesizes these contributions, as well as her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms. |
| bozhena bidyuk: Modeling and Reasoning with Bayesian Networks Adnan Darwiche, 2009-04-06 This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer. |
| bozhena bidyuk: Reasoning with Probabilistic and Deterministic Graphical Models Rina Dechter, 2022-06-01 Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. This book provides comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. The new edition includes the notion of influence diagrams, which focus on sequential decision making under uncertainty. We believe the principles outlined in the book would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond. |
| bozhena bidyuk: Principles and Practice of Constraint Programming - CP 2004 Mark Wallace, 2005-01-12 The 10th International Conference on the Principles and Practice of Constraint Programming (CP 2003) was held in Toronto, Canada, during September 27 – October 1, 2004. Information about the conference can be found on the Web at http://ai.uwaterloo.ca/~cp2004/ Constraint programming (CP) is about problem modelling, problem solving, programming, optimization, software engineering, databases, visualization, user interfaces, and anything to do with satisfying complex constraints. It reaches into mathematics, operations research, arti?cial intelligence, algorithms, c- plexity, modelling and programming languages, and many aspects of computer science. Moreover, CP is never far from applications, and its successful use in industry and government goes hand in hand with the success of the CP research community. Constraintprogrammingcontinuesto beanexciting,?ourishingandgrowing research?eld,astheannualCPconferenceproceedingsamplywitness.Thisyear, from 158 submissions, we chose 46 to be published in full in the proceedings. Instead of selecting one overall best paper, we picked out four “distinguished” papers – though we were tempted to select at least 12 such papers. In addition we included 16 short papersin the proceedings– these were presentedas posters at CP 2004. This volume includes summaries of the four invited talks of CP 2004. Two speakers from industry were invited. However these were no ordinary industrial representatives,buttwoofthe leadingresearchersinthe CPcommunity:Helmut Simonis of Parc Technologies, until its recent takeover by Cisco Systems; and Jean Francoi ̧ s Puget, Director of Optimization Technology at ILOG. The other two invited speakers are also big movers and shakers in the researchcommunity. |
| bozhena bidyuk: Principles and Practice of Constraint Programming - CP 2005 Peter van Beek, 2005-09-22 This book constitutes the refereed proceedings of the 11th International Conference on Principles and Practice of Constraint Programming, CP 2005, held in Sitges, Spain, in October 2005. The 48 revised full papers and 22 revised short papers presented together with extended abstracts of 4 invited talks and 40 abstracts of contributions to the doctoral students program as well as 7 abstracts of contributions to a systems demonstration session were carefully reviewed and selected from 164 submissions. All current issues of computing with constraints are addressed, ranging from methodological and foundational aspects to solving real-world problems in various application fields. |
| bozhena bidyuk: Mobile Agents Gian P. Picco, 2003-06-30 Recent years have witnessed the appearance of new paradigms for designing distributed applications where the application components can be relocated - namically across the hosts of the network. This form of code mobility lays the foundation for a new generation of technologies, architectures, models, and - plications in which the location at which the code is executed comes under the control of the designer, rather than simply being a con?guration accident. Among the various ?avors of mobile code, the mobile agent paradigm has become particularly popular. Mobile agents are programs able to determine - tonomously their own migration to a di?erent host, and still retain their code and state (or at least a portion thereof). Thus, distributed computations do not necessarily unfold as a sequence of requests and replies between clients and - mote servers, rather they encompass one or more visits of one or more mobile agents to the nodes involved. Mobile code and mobile agents hold the potential to shape the next gene- tion of technologies and models for distributed computation. The ?rst steps of this process are already evident today: Web applets provide a case for the least sophisticated form of mobile code, Java-based distributed middleware makes - creasing use of mobile code, and the ?rst commercial applications using mobile agents are starting to appear. |
| bozhena bidyuk: Reasoning with Probabilistic and Deterministic Graphical Models Rina Kraus, 2022-12-06 Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. In this book we provide comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. We believe the principles outlined here would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond. |
| bozhena bidyuk: Principles and Practice of Constraint Programming - CP 2003 Francesca Rossi, 2003-11-18 This volume contains the proceedings of the Ninth International Conference on Principles and Practice of Constraint Programming (CP 2003), held in Kinsale, Ireland, from September 29 to October 3, 2003. Detailed information about the CP 2003 conference can be found at the URL http://www.cs.ucc.ie/cp2003/ The CP conferences are held annually and provide an international forum for the latest results on all aspects of constraint programming. Previous CP conferences were held in Cassis (France) in 1995, in Cambridge (USA) in 1996, in Schloss Hagenberg (Austria) in 1997, in Pisa (Italy) in 1998, in Alexandria (USA) in 1999, in Singapore in 2000, in Paphos (Cyprus) in 2001, and in Ithaca (USA) in 2002. Like previous CP conferences, CP 2003 again showed the interdisciplinary nature of computing with constraints, and also its usefulness in many problem domains and applications. Constraint programming, with its solvers, languages, theoretical results, and applications, has become a widely recognized paradigm to model and solve successfully many real-life problems, and to reason about problems in many research areas. |
| bozhena bidyuk: ECAI 2006 G. Brewka, S. Coradeschi, A. Perini, 2006-08-10 In the summer of 1956, John McCarthy organized the famous Dartmouth Conference which is now commonly viewed as the founding event for the field of Artificial Intelligence. During the last 50 years, AI has seen a tremendous development and is now a well-established scientific discipline all over the world. Also in Europe AI is in excellent shape, as witnessed by the large number of high quality papers in this publication. In comparison with ECAI 2004, there’s a strong increase in the relative number of submissions from Distributed AI / Agents and Cognitive Modelling. Knowledge Representation & Reasoning is traditionally strong in Europe and remains the biggest area of ECAI-06. One reason the figures for Case-Based Reasoning are rather low is that much of the high quality work in this area has found its way into prestigious applications and is thus represented under the heading of PAIS. |
| bozhena bidyuk: ECAI 2006 Gerhard Brewka, 2006 In the summer of 1956, John McCarthy organized the famous Dartmouth Conference which is now commonly viewed as the founding event for the field of Artificial Intelligence. During the last 50 years, AI has seen a tremendous development and is now a well-established scientific discipline all over the world. Also in Europe AI is in excellent shape, as witnessed by the large number of high quality papers in this publication. In comparison with ECAI 2004, there's a strong increase in the relative number of submissions from Distributed AI/Agents and Cognitive Modelling. Knowledge Representation & Reasoning is traditionally strong in Europe and remains the biggest area of ECAI 2006. One reason the figures for Case-Based Reasoning are rather low is that much of the high quality work in this area has found its way into prestigious applications and is thus represented under the heading of PAIS. |
| bozhena bidyuk: Principles and Practice of Constraint Programming , 2005 |
| bozhena bidyuk: Proceedings , 2006 |
| bozhena bidyuk: Proceedings American Association for Artificial Intelligence, 2006 |
| bozhena bidyuk: Mobile Agents , 2001 |
| bozhena bidyuk: IJCAI-05 Leslie Pack Kaelbling, 2005 |
| bozhena bidyuk: ECAI 2014 T. Schaub, G. Friedrich, B. O'Sullivan, 2014-08 The role of artificial intelligence (AI) applications in fields as diverse as medicine, economics, linguistics, logical analysis and industry continues to grow in scope and importance. AI has become integral to the effective functioning of much of the technical infrastructure we all now take for granted as part of our daily lives. This book presents the papers from the 21st biennial European Conference on Artificial Intelligence, ECAI 2014, held in Prague, Czech Republic, in August 2014. The ECAI conference remains Europe's principal opportunity for researchers and practitioners of Artificial Intelligence to gather and to discuss the latest trends and challenges in all subfields of AI, as well as to demonstrate innovative applications and uses of advanced AI technology. Included here are the 158 long papers and 94 short papers selected for presentation at the conference. Many of the papers cover the fields of knowledge representation, reasoning and logic as well as agent-based and multi-agent systems, machine learning, and data mining. The proceedings of PAIS 2014 and the PAIS System Demonstrations are also included in this volume, which will be of interest to all those wishing to keep abreast of the latest developments in the field of AI. |
| bozhena bidyuk: Mathematical Reviews , 2005 |
| bozhena bidyuk: Heuristics, Probability, and Casuality Rina Dechter, Hector Geffner, Joseph Y. Halpern, 2010 The field of Artificial Intelligence has changed a great deal since the 80s, and arguably no one has played a larger role in that change than Judea Pearl. Judea Pearl's work made probability the prevailing language of modern AI and, perhaps more significantly, it placed the elaboration of crisp and meaningful models, and of effective computational mechanisms, at the center of AI research. This book is a collection of articles in honor of Judea Pearl, written by close colleagues and former students. Its three main parts, heuristics, probabilistic reasoning, and causality, correspond to the titles of the three ground-breaking books authored by Judea, and are followed by a section of short reminiscences. In this volume, leading authors look at the state of the art in the fields of heuristic, probabilistic, and causal reasoning, in light of Judea's seminal contributors. The authors list include Blai Bonet, Eric Hansen, Robert Holte, Jonathan Schaeffer, Ariel Felner, Richard Korf, Austin Parker, Dana Nau, V. S. Subrahmanian, Hector Geffner, Ira Pohl, Adnan Darwiche, Thomas Dean, Rina Dechter, Bozhena Bidyuk, Robert Matescu, Emma Rollon, Michael I. Jordan, Michael Kearns, Daphne Koller, Brian Milch, Stuart Russell, Azaria Paz, David Poole, Ingrid Zukerman, Carlos Brito, Philip Dawid, Felix Elwert, Christopher Winship, Michael Gelfond, Nelson Rushton, Moises Goldszmidt, Sander Greenland, Joseph Y. Halpern, Christopher Hitchcock, David Heckerman, Ross Shachter, Vladimir Lifschitz, Thomas Richardson, James Robins, Yoav Shoham, Peter Spirtes, Clark Glymour, Richard Scheines, Robert Tillman, Wolfgang Spohn, Jian Tian, Ilya Shpitser, Nils Nilsson, Edward T. Purcell, and David Spiegelhalter. |
| bozhena bidyuk: Dissertation Abstracts International , 2007 |
| bozhena bidyuk: Terrorism Informatics Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke, Boaz Ganor, 2008-06-17 This book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges. |
| bozhena bidyuk: Uncertainty in Artificial Intelligence Laveen N. Kanal, John F. Lemmer, 1986-01-01 |
| bozhena bidyuk: An Introduction to Lifted Probabilistic Inference Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole, 2021-08-17 Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field. After providing necessary background on probabilistic graphical models, relational probabilistic models, and learning inside these models, the book turns to lifted inference, first covering exact inference and then approximate inference. In addition, the book considers the theory of liftability and acting in relational domains, which allows the connection of learning and reasoning in relational domains. |
| bozhena bidyuk: Elements of Phase Transitions and Critical Phenomena Hidetoshi Nishimori, Gerardo Ortiz, 2010-12-02 As an introductory account of the theory of phase transitions and critical phenomena, this book reflects lectures given by the authors to graduate students at their departments and is thus classroom-tested to help beginners enter the field. Most parts are written as self-contained units and every new concept or calculation is explained in detail without assuming prior knowledge of the subject. The book significantly enhances and revises a Japanese version which is a bestseller in the Japenese market and is considered a standard textbook in the field. It contains new pedagogical presentations of field theory methods, including a chapter on conformal field theory, and various modern developments hard to find in a single textbook on phase transitions. Exercises are presented as the topics develop, with solutions found at the end of the book, making the usefil for self-teaching, as well as for classroom learning. |
| bozhena bidyuk: Reasoning With Probabilistic and Deterministic Graphical Models Rina Dechter, 2019-02-14 Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. This book provides comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. The new edition includes the notion of influence diagrams, which focus on sequential decision making under uncertainty. We believe the principles outlined in the book would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond. |
| bozhena bidyuk: Developing Intercultural Competence in Practice Michael Byram, Adam Nichols, David Stevens, 2001 Less a textbook than a forum for language teachers to share examples of what worked for them in teaching learners both in multicultural societies and in the study of other societies. Some common themes that the 17 chapters emphasize include: having learners become aware of the cultural phenomena of their own society as well as others; the development of analytic and interpretive skills in unfamiliar social and cultural settings; the value of collecting firsthand data outside the classroom; and the use of literary texts to stimulate emotional as well as cognitive understanding of otherness. The contributors are academics and classroom teachers working in the UK, Europe, and Japan. Distributed by UTP Distribution. c. Book News Inc. |
| bozhena bidyuk: Causal Inference Scott Cunningham, 2021-01-26 An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages. |
| bozhena bidyuk: Computer Science Education Research Sally Fincher, Marian Petre, 2005-09-26 This book provides an overview of how to approach computer science education research from a pragmatic perspective. It represents the diversity of traditions and approaches inherent in this interdisciplinary area, while also providing a structure within which to make sense of that diversity. It provides multiple 'entry points'- to literature, to me |
| bozhena bidyuk: Parameterized Complexity Rodney G. Downey, M.R. Fellows, Michael Ralph Fellows, 1999 An approach to complexity theory which offers a means of analysing algorithms in terms of their tractability. The authors consider the problem in terms of parameterized languages and taking k-slices of the language, thus introducing readers to new classes of algorithms which may be analysed more precisely than was the case until now. The book is as self-contained as possible and includes a great deal of background material. As a result, computer scientists, mathematicians, and graduate students interested in the design and analysis of algorithms will find much of interest. |
| bozhena bidyuk: Sports Marketing Matthew D. Shank, 2005 Sports Marketing takes a strategic business perspective, keeping pace with the ever-changing environment of the sports world. Organized around a framework of the strategic marketing process that can be applied to the sports industry, it provides an appreciation for the growing popularity of women's sports and the globalization of sport. This edition concentrates on the rising costs, escalating salaries, the price of new stadiums and arenas, and sports ethics versus the incredible appetite of consumers for sports. Extensive treatment is given to understanding consumers as spectators and participants; in addition to planning the sports marketing mix (product, price, promotion, and place), it examines the execution and evaluation of the planning process. An excellent source of information for directors of sports marketing, directors of sports promotion, athletic directors, directors of community/public relations, directors of ticket sales, directors of sponsorship sales, sports marketing coordinators, sports promotion coordinators, and recreation/borough sports directors. |
| bozhena bidyuk: Handbook of Constraint Programming Francesca Rossi, Peter Van Beek, Toby Walsh, 2006 Of course each line of work is dealt with in a survey-like style, where some details may be neglected in favor of coverage. However, the extensive bibliography of each chapter will help the interested readers to find suitable sources for the missing details. Each chapter of the handbook is intended to be a self-contained survey of a topic, and is written by one or more authors who are leading researchers in the area. The intended audience of the handbook is researchers, graduate students, higher-year undergraduates and practitioners who wish to learn about the state-of-the-art in constraint programming. No prior knowledge about the field is necessary to be able to read the chapters and gather useful knowledge.- |
| bozhena bidyuk: Heuristics Judea Pearl, 1984 Problem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models. Performance analysis of Heuristic methods. Abstract models for quantitative performace analysis. Complexity versus precision of admissible Heuristics. Searching with nonadmissible Heuristics. Game-playing programs. Strategies and models for game-playing programs. Performace analysis for game-searching strategies. Decision quality in game searching. Bibliography. Index. |
| bozhena bidyuk: Search in Artificial Intelligence Leveen Kanal, Vipin Kumar, 1988-06-24 |
| bozhena bidyuk: The Value of Resilience Chris Zebrowski, 2015-08-20 The Value of Resilience represents one of the first systematic studies of resilience in the field of security studies. At the turn of the twenty-first century, resilience has become a ‘buzz-word’ within fields as diverse as network engineering, ecosystems management, child psychology and military training programmes. Resilience has emerged as a solution to the common problematic of radical contingency experienced across these fields. At its most general level resilience is understood as the capacity to absorb, withstand and ‘bounce-back’ quickly and efficiently from a perturbation. It is considered to be both a natural property and a quality which can be improved within a broad array of complex systems. Rather than treating resilience as either a unified concept or technique of governance, this book analyses resilience as an emergent security value. Utilizing a biopolitical analytic, it demonstrates that the value of resilience has appreciated alongside transformations in the order of power/knowledge enacted by political economies of security. Zebrowski argues that resilience was not lying in wait for the march of science to provide the conditions for its recognition. Nor was it concealed by the distortions of ideology which lifted with the culmination of the Cold War. There is nothing natural about resilience. By drawing attention to the complex historical processes and significant governmental efforts required to make resilience possible, this book aims to open up a space through which the value of resilience may be more critically interrogated. It will be of interest to students and scholars of international relations, security studies and conflict resolution. |
| bozhena bidyuk: Determinantal Point Processes for Machine Learning Alex Kulesza, Ben Taskar, 2012-11-29 This monograph provides a comprehensible introduction to DPPs, focusing on the intuitions, algorithms, and extensions that are most relevant to the machine learning community. |
| bozhena bidyuk: Statistical Relational Artificial Intelligence Luc De Raedt, Kristian Kersting, Sriraam Natarajan, David Poole, 2016-03-24 An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks. |
| bozhena bidyuk: Orienteering Problems Pieter Vansteenwegen, Aldy Gunawan, 2019-08-30 This tutorial introduces readers to several variants of routing problems with profits. In these routing problems each node has a certain profit, and not all nodes need to be visited. Since the orienteering problem (OP) is by far the most frequently studied problem in this category of routing problems, the book mainly focuses on the OP. In turn, other problems are presented as variants of the OP, focusing on the similarities and differences. The goal of the OP is to determine a subset of nodes to visit and in which order, so that the total collected profit is maximized and a given time budget is not exceeded.The book provides a comprehensive review of variants of the OP, such as the team OP, the team OP with time windows, the profitable tour problem, and the prize-collecting travelling salesperson problem. In addition, it presents mathematical models and techniques for solving these OP variants and discusses their complexity. Several simple examples and benchmark instances, together with their best-known results, are also included. Finally, the book reviews the latest applications of these problems in the fields of logistics, tourism and others. |
| bozhena bidyuk: Kernel Mean Embedding of Distributions Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Bernhard Schölkopf, 2017-06-28 Provides a comprehensive review of kernel mean embeddings of distributions and, in the course of doing so, discusses some challenging issues that could potentially lead to new research directions. The targeted audience includes graduate students and researchers in machine learning and statistics. |
Herbwoman Bozhena | Kingdom Come: Deliverance Wiki | Fandom
Bozhena is an elderly herbwoman that lives in an isolated hut in the woods west of Troskowitz with her daughter, Pavlena. Bozhena used to be a midwife living in Troskowitz, helping the town's …
Herbwoman Bozhena | Kingdom Come Deliverance 2 Wiki
Herbwoman Bozhena is an NPC in Kingdom Come Deliverance 2 (KCD 2). She is introduced during the quest "Fortuna," where Hans and Henry seek her help after sustaining injuries. Bozhena …
Should You Repay Your Debt To Bozhena In Kingdom Come ...
Feb 9, 2025 · Bozhena helps Henry and Hans in the prologue of Kingdom Come: Deliverance 2; but should you go back and repay your debts to her?
Bożena - Wikipedia
Bożena (Polish pronunciation: [bɔˈʐɛna]) is a Polish feminine given name, originally appearing as Bożana and Bożechna. It is derived from the word "Bóg" (God). This Slavic name is equivalent to …
How to stop the Bad Blood feud between Jakesh and Bozhena in ...
There are a few ways to end the Bad Blood feud, as you can either kill Jakesh for Bozhena or have them patch things up peacefully. If you choose the latter, you can stop the Bad Blood feud...
Kingdom Come Deliverance 2 Herbwoman Bozhena Bug Fix
Feb 5, 2025 · In this guide, we’ll walk you through how to fix the Herbwoman Bozhena bug in Kingdom Come: Deliverance 2, ensuring you can continue your adventure without any …
Bad Blood (Kingdom Come: Deliverance II quest)
Bad Blood is a side quest in Kingdom Come: Deliverance II. Shortly after you're able to roam freely around the world, you can make your way back to Bozhena's hut, where she'll reveal Pavlena …
Bozhena Lisko-Murphy - Tiger Global Management - LinkedIn
View Bozhena Lisko-Murphy’s profile on LinkedIn, a professional community of 1 billion members. Experience: Tiger Global Management · Education: Princeton University · Location: New York ...
Is It Worth Repaying Your Debt to Bozhena in Kingdom Come ...
Feb 9, 2025 · When players approach Bozhena and initiate conversation, they will be presented with an option to repay her kindness with 150 Groschen. This sum is significant, even in the later …
Bozhena - Slavic Girl Name Meaning and Pronunciation - Ask Oracle
Bozhena is a beautiful and strong name of Slavic origin, meaning 'God's gift' or 'divine gift'. It is primarily used as a feminine name, particularly in Eastern Europe, especially in Russia and Ukraine.
Herbwoman Bozhena | Kingdom Come: Deliverance Wiki | Fandom
Bozhena is an elderly herbwoman that lives in an isolated hut in the woods west of Troskowitz with her daughter, Pavlena. Bozhena used to be a midwife living in Troskowitz, helping the …
Herbwoman Bozhena | Kingdom Come Deliverance 2 Wiki
Herbwoman Bozhena is an NPC in Kingdom Come Deliverance 2 (KCD 2). She is introduced during the quest "Fortuna," where Hans and Henry seek her help after sustaining injuries. …
Should You Repay Your Debt To Bozhena In Kingdom Come ...
Feb 9, 2025 · Bozhena helps Henry and Hans in the prologue of Kingdom Come: Deliverance 2; but should you go back and repay your debts to her?
Bożena - Wikipedia
Bożena (Polish pronunciation: [bɔˈʐɛna]) is a Polish feminine given name, originally appearing as Bożana and Bożechna. It is derived from the word "Bóg" (God). This Slavic name is equivalent …
How to stop the Bad Blood feud between Jakesh and Bozhena in ...
There are a few ways to end the Bad Blood feud, as you can either kill Jakesh for Bozhena or have them patch things up peacefully. If you choose the latter, you can stop the Bad Blood feud...
Kingdom Come Deliverance 2 Herbwoman Bozhena Bug Fix
Feb 5, 2025 · In this guide, we’ll walk you through how to fix the Herbwoman Bozhena bug in Kingdom Come: Deliverance 2, ensuring you can continue your adventure without any …
Bad Blood (Kingdom Come: Deliverance II quest)
Bad Blood is a side quest in Kingdom Come: Deliverance II. Shortly after you're able to roam freely around the world, you can make your way back to Bozhena's hut, where she'll reveal …
Bozhena Lisko-Murphy - Tiger Global Management - LinkedIn
View Bozhena Lisko-Murphy’s profile on LinkedIn, a professional community of 1 billion members. Experience: Tiger Global Management · Education: Princeton University · Location: New York ...
Is It Worth Repaying Your Debt to Bozhena in Kingdom Come ...
Feb 9, 2025 · When players approach Bozhena and initiate conversation, they will be presented with an option to repay her kindness with 150 Groschen. This sum is significant, even in the …
Bozhena - Slavic Girl Name Meaning and Pronunciation - Ask Oracle
Bozhena is a beautiful and strong name of Slavic origin, meaning 'God's gift' or 'divine gift'. It is primarily used as a feminine name, particularly in Eastern Europe, especially in Russia and …
