An Introduction To Lifted Probabilistic Inference

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An Introduction to Lifted Probabilistic Inference

Guy Van den Broeck,Kristian Kersting,Sriraam Natarajan,David Poole
An Introduction to Lifted Probabilistic Inference Book PDF

Author : Guy Van den Broeck,Kristian Kersting,Sriraam Natarajan,David Poole
Publisher : MIT Press
Page : 455 pages
File Size : 46,7 Mb
Release : 2021-08-17
Category : Computers
ISBN : 9780262542593

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An Introduction to Lifted Probabilistic Inference by Guy Van den Broeck,Kristian Kersting,Sriraam Natarajan,David Poole Pdf

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.

Scalable Uncertainty Management

Florence Dupin de Saint-Cyr,Meltem Öztürk-Escoffier,Nico Potyka
Scalable Uncertainty Management Book PDF

Author : Florence Dupin de Saint-Cyr,Meltem Öztürk-Escoffier,Nico Potyka
Publisher : Springer Nature
Page : 374 pages
File Size : 52,5 Mb
Release : 2022-10-14
Category : Computers
ISBN : 9783031188435

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Scalable Uncertainty Management by Florence Dupin de Saint-Cyr,Meltem Öztürk-Escoffier,Nico Potyka Pdf

This book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022. The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.

Inductive Logic Programming

Gerson Zaverucha,Vítor Santos Costa,Aline Paes
Inductive Logic Programming Book PDF

Author : Gerson Zaverucha,Vítor Santos Costa,Aline Paes
Publisher : Springer
Page : 152 pages
File Size : 49,7 Mb
Release : 2014-09-23
Category : Mathematics
ISBN : 9783662449233

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Inductive Logic Programming by Gerson Zaverucha,Vítor Santos Costa,Aline Paes Pdf

This book constitutes the thoroughly refereed post-proceedings of the 23rd International Conference on Inductive Logic Programming, ILP 2013, held in Rio de Janeiro, Brazil, in August 2013. The 9 revised extended papers were carefully reviewed and selected from 42 submissions. The conference now focuses on all aspects of learning in logic, multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and other forms of learning from structured data.

Introduction to Statistical Relational Learning

Lise Getoor,Ben Taskar
Introduction to Statistical Relational Learning Book PDF

Author : Lise Getoor,Ben Taskar
Publisher : MIT Press
Page : 602 pages
File Size : 42,9 Mb
Release : 2019-09-22
Category : Computers
ISBN : 9780262538688

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Introduction to Statistical Relational Learning by Lise Getoor,Ben Taskar Pdf

Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications. Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases and programming languages to represent structure. In Introduction to Statistical Relational Learning, leading researchers in this emerging area of machine learning describe current formalisms, models, and algorithms that enable effective and robust reasoning about richly structured systems and data. The early chapters provide tutorials for material used in later chapters, offering introductions to representation, inference and learning in graphical models, and logic. The book then describes object-oriented approaches, including probabilistic relational models, relational Markov networks, and probabilistic entity-relationship models as well as logic-based formalisms including Bayesian logic programs, Markov logic, and stochastic logic programs. Later chapters discuss such topics as probabilistic models with unknown objects, relational dependency networks, reinforcement learning in relational domains, and information extraction. By presenting a variety of approaches, the book highlights commonalities and clarifies important differences among proposed approaches and, along the way, identifies important representational and algorithmic issues. Numerous applications are provided throughout.

ECAI 2012

C. Bessiere
ECAI 2012 Book PDF

Author : C. Bessiere
Publisher : IOS Press
Page : 1056 pages
File Size : 53,6 Mb
Release : 2012-08-15
Category : Computers
ISBN : 9781614990987

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ECAI 2012 by C. Bessiere Pdf

Artificial intelligence (AI) plays a vital part in the continued development of computer science and informatics. The AI applications employed in fields such as medicine, economics, linguistics, philosophy, psychology and logical analysis, not forgetting industry, are now indispensable for the effective functioning of a multitude of systems. This book presents the papers from the 20th biennial European Conference on Artificial Intelligence, ECAI 2012, held in Montpellier, France, in August 2012. 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. ECAI 2012 featured four keynote speakers, an extensive workshop program, seven invited tutorials and the new Frontiers of Artificial Intelligence track, in which six invited speakers delivered perspective talks on particularly interesting new research results, directions and trends in Artificial Intelligence or in one of its related fields. The proceedings of PAIS 2012 and the System Demonstrations Track 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.

Advances in Databases and Information Systems

Barbara Catania,Giovanna Guerrini,Jaroslav Pokorny
Advances in Databases and Information Systems Book PDF

Author : Barbara Catania,Giovanna Guerrini,Jaroslav Pokorny
Publisher : Springer
Page : 402 pages
File Size : 41,9 Mb
Release : 2013-08-13
Category : Computers
ISBN : 9783642406836

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Advances in Databases and Information Systems by Barbara Catania,Giovanna Guerrini,Jaroslav Pokorny Pdf

This book constitutes the thoroughly refereed proceedings of the 17th East-European Conference on Advances in Databases and Information Systems, ADBIS 2013, held in Genoa, Italy, in September 2013. The 26 revised full papers presented together with three invited papers were carefully selected and reviewed from 92 submissions. The papers are organized in topical sections on ontologies; indexing; data mining; OLAP; XML data processing; querying; similarity search; GPU; querying in parallel architectures; performance evaluation; distributed architectures.

KI 2011: Advances in Artificial Intelligence

Joscha Bach,Stefan Edelkamp
KI 2011 Advances in Artificial Intelligence Book PDF

Author : Joscha Bach,Stefan Edelkamp
Publisher : Springer
Page : 370 pages
File Size : 47,9 Mb
Release : 2011-10-01
Category : Computers
ISBN : 9783642244551

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KI 2011: Advances in Artificial Intelligence by Joscha Bach,Stefan Edelkamp Pdf

This book constitutes the refereed proceedings of the 34th Annual German Conference on Artificial Intelligence, KI 2011, held in Berlin, Germany, in October 2011. The 32 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 81 submissions. The papers are divided in topical sections on computational learning and datamining, knowledge representation and reasonings, augmented reality, swarm intelligence; and planning and scheduling.

Functional and Logic Programming

Michael Hanus,Atsushi Igarashi
Functional and Logic Programming Book PDF

Author : Michael Hanus,Atsushi Igarashi
Publisher : Springer Nature
Page : 298 pages
File Size : 47,5 Mb
Release : 2022-05-03
Category : Computers
ISBN : 9783030994617

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Functional and Logic Programming by Michael Hanus,Atsushi Igarashi Pdf

This book constitutes the proceedings of the 16th International Symposium on Functional and Logic Programming, FLOPS 2022, held in Kyoto, Japan, in May 2022. The 12 papers presented in this volume were carefully reviewed and selected from 30 submissions. Additionally, the volume includes two system descriptions and a declarative pearl paper. The papers cover all aspects of the design, semantics, theory, applications, implementations, and teaching of declarative programming focusing on topics such as functional programming, logic programming, declarative programming, constraint programming, formal method, model checking, program transformation, program refinement, and type theory.

An Introduction to Probability and Statistical Inference

George G. Roussas
An Introduction to Probability and Statistical Inference Book PDF

Author : George G. Roussas
Publisher : Academic Press
Page : 624 pages
File Size : 42,5 Mb
Release : 2014-10-21
Category : Mathematics
ISBN : 9780128004371

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An Introduction to Probability and Statistical Inference by George G. Roussas Pdf

An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts. Written by award-winning author George Roussas, this book introduces readers with no prior knowledge in probability or statistics to a thinking process to help them obtain the best solution to a posed question or situation. It provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. This text contains an enhanced number of exercises and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities. Reorganized material is included in the statistical portion of the book to ensure continuity and enhance understanding. Each section includes relevant proofs where appropriate, followed by exercises with useful clues to their solutions. Furthermore, there are brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises are available to instructors in an Answers Manual. This text will appeal to advanced undergraduate and graduate students, as well as researchers and practitioners in engineering, business, social sciences or agriculture. Content, examples, an enhanced number of exercises, and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities Reorganized material in the statistical portion of the book to ensure continuity and enhance understanding A relatively rigorous, yet accessible and always within the prescribed prerequisites, mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines Relevant proofs where appropriate in each section, followed by exercises with useful clues to their solutions Brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises available to instructors in an Answers Manual

Inductive Logic Programming

Fabrizio Riguzzi,Filip Zelezny
Inductive Logic Programming Book PDF

Author : Fabrizio Riguzzi,Filip Zelezny
Publisher : Springer
Page : 273 pages
File Size : 41,6 Mb
Release : 2013-06-04
Category : Mathematics
ISBN : 9783642388125

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Inductive Logic Programming by Fabrizio Riguzzi,Filip Zelezny Pdf

This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.

Machine Learning and Knowledge Discovery in Databases: Research Track

Danai Koutra,Claudia Plant,Manuel Gomez Rodriguez,Elena Baralis,Francesco Bonchi
Machine Learning and Knowledge Discovery in Databases Research Track Book PDF

Author : Danai Koutra,Claudia Plant,Manuel Gomez Rodriguez,Elena Baralis,Francesco Bonchi
Publisher : Springer Nature
Page : 802 pages
File Size : 44,9 Mb
Release : 2023-09-16
Category : Computers
ISBN : 9783031434129

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Machine Learning and Knowledge Discovery in Databases: Research Track by Danai Koutra,Claudia Plant,Manuel Gomez Rodriguez,Elena Baralis,Francesco Bonchi Pdf

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Uncertainty Reasoning for the Semantic Web III

Fernando Bobillo,Rommel N. Carvalho,Paulo C.G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool
Uncertainty Reasoning for the Semantic Web III Book PDF

Author : Fernando Bobillo,Rommel N. Carvalho,Paulo C.G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool
Publisher : Springer
Page : 329 pages
File Size : 42,8 Mb
Release : 2014-11-29
Category : Computers
ISBN : 9783319134130

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Uncertainty Reasoning for the Semantic Web III by Fernando Bobillo,Rommel N. Carvalho,Paulo C.G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool Pdf

This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

KI 2018: Advances in Artificial Intelligence

Frank Trollmann,Anni-Yasmin Turhan
KI 2018 Advances in Artificial Intelligence Book PDF

Author : Frank Trollmann,Anni-Yasmin Turhan
Publisher : Springer
Page : 424 pages
File Size : 50,6 Mb
Release : 2018-09-17
Category : Computers
ISBN : 9783030001117

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KI 2018: Advances in Artificial Intelligence by Frank Trollmann,Anni-Yasmin Turhan Pdf

This book constitutes the refereed proceedings of the 41st German Conference on Artificial Intelligence, KI 2018, held in Berlin, Germany, in September 2018. The 20 full and 14 short papers presented in this volume were carefully reviewed and selected from 65 submissions. The book also contains one keynote talk in full paper length. The papers were organized in topical sections named: reasoning; multi-agent systems; robotics; learning; planning; neural networks; search; belief revision; context aware systems; and cognitive approach.

AI 2019: Advances in Artificial Intelligence

Jixue Liu,James Bailey
AI 2019 Advances in Artificial Intelligence Book PDF

Author : Jixue Liu,James Bailey
Publisher : Springer Nature
Page : 622 pages
File Size : 53,8 Mb
Release : 2019-11-25
Category : Computers
ISBN : 9783030352882

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AI 2019: Advances in Artificial Intelligence by Jixue Liu,James Bailey Pdf

This book constitutes the proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019, held in Adelaide, SA, Australia, in December 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 115 submissions. The paper were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and applications; natural language processing and text analytics; optimization and evolutionary computing; and image processing.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Zied Bouraoui,Srdjan Vesic
Symbolic and Quantitative Approaches to Reasoning with Uncertainty Book PDF

Author : Zied Bouraoui,Srdjan Vesic
Publisher : Springer Nature
Page : 481 pages
File Size : 47,5 Mb
Release : 2023-12-20
Category : Computers
ISBN : 9783031456084

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty by Zied Bouraoui,Srdjan Vesic Pdf

This book constitutes the refereed proceedings of the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2023, held in Arras, France, in September 2023. The 35 full papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in topical sections about Complexity and Database Theory; Formal Concept Analysis: Theoretical Advances; Formal Concept Analysis: Applications; Modelling and Explanation; Semantic Web and Graphs; Posters.