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Foundations of Probabilistic Logic Programming

Foundations of Probabilistic Logic Programming PDF Author: F RIGUZZI
Publisher: Stylus Publishing, LLC
ISBN: 8770220654
Category : Computers
Languages : en
Pages :

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Book Description

Foundations of Probabilistic Logic Programming

Foundations of Probabilistic Logic Programming PDF Author: F RIGUZZI
Publisher: Stylus Publishing, LLC
ISBN: 8770220654
Category : Computers
Languages : en
Pages :

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Book Description


Foundations of Probabilistic Programming

Foundations of Probabilistic Programming PDF Author: Gilles Barthe
Publisher: Cambridge University Press
ISBN: 110848851X
Category : Computers
Languages : en
Pages : 582

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Book Description
This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is also available as Open Access on Cambridge Core.

Functional and Logic Programming

Functional and Logic Programming PDF Author: Michael Hanus
Publisher: Springer Nature
ISBN: 3030994619
Category :
Languages : en
Pages :

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Foundations of Information and Knowledge Systems

Foundations of Information and Knowledge Systems PDF Author: Christoph Beierle
Publisher: Springer
ISBN: 3319049399
Category : Mathematics
Languages : en
Pages : 433

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Book Description
This book constitutes the proceedings of the 8th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2014, held in Bordeaux, France, in March 2014. The 14 revised full papers presented together with 5 revised short papers and two invited talks were carefully reviewed and selected from 52 submissions. The papers address various topics such as database design, dynamics of information, information fusion, integrity and constraint management, intelligent agents, knowledge discovery and information retrieval, knowledge representation, reasoning and planning, logics in databases and AI, mathematical foundations, security in information and knowledge Systems, semi-structured data and XML, social computing, the semantic Web and knowledge management as well as the WWW.

Probabilistic Constraint Logic Programming

Probabilistic Constraint Logic Programming PDF Author: Stefan Riezler
Publisher:
ISBN:
Category : Constraint programming (Computer science)
Languages : en
Pages : 142

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Innovations in Bayesian Networks

Innovations in Bayesian Networks PDF Author: Dawn E. Holmes
Publisher: Springer
ISBN: 354085066X
Category : Technology & Engineering
Languages : en
Pages : 322

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Book Description
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.

Probabilistic Constraint Logic Programming

Probabilistic Constraint Logic Programming PDF Author: Stefan Riezler
Publisher:
ISBN:
Category :
Languages : en
Pages : 142

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Foundations of Fuzzy Logic and Semantic Web Languages

Foundations of Fuzzy Logic and Semantic Web Languages PDF Author: Umberto Straccia
Publisher: CRC Press
ISBN: 1439853487
Category : Computers
Languages : en
Pages : 386

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Book Description
Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic

Handbook of the Logic of Argument and Inference

Handbook of the Logic of Argument and Inference PDF Author: R.H. Johnson
Publisher: Elsevier
ISBN: 0080532918
Category : Computers
Languages : en
Pages : 508

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Book Description
The Handbook of the Logic of Argument and Inference is an authoritative reference work in a single volume, designed for the attention of senior undergraduates, graduate students and researchers in all the leading research areas concerned with the logic of practical argument and inference. After an introductory chapter, the role of standard logics is surveyed in two chapters. These chapters can serve as a mini-course for interested readers, in deductive and inductive logic, or as a refresher. Then follow two chapters of criticism; one the internal critique and the other the empirical critique. The first deals with objections to standard logics (as theories of argument and inference) arising from the research programme in philosophical logic. The second canvasses criticisms arising from work in cognitive and experimental psychology. The next five chapters deal with developments in dialogue logic, interrogative logic, informal logic, probability logic and artificial intelligence. The last chapter surveys formal approaches to practical reasoning and anticipates possible future developments. Taken as a whole the Handbook is a single-volume indication of the present state of the logic of argument and inference at its conceptual and theoretical best. Future editions will periodically incorporate significant new developments.

Foundations of Information and Knowledge Systems

Foundations of Information and Knowledge Systems PDF Author: Thomas Lukasiewicz
Publisher: Springer Science & Business Media
ISBN: 364228471X
Category : Computers
Languages : en
Pages : 405

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Book Description
This book constitutes the proceedings of the 7th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2012, held in Kiel, Germany, in March 2012. The 12 regular and 8 short papers, presented together with two invited talks in full paper-length, were carefully reviewed and selected from 53 submissions. The contributions cover foundational aspects of information and knowledge systems. These include the application of ideas, theories or methods from specific disciplines to information and knowledge systems, such as discrete mathematics, logic and algebra, model theory, informaiton theory, complexity theory, algorithmics and computation, statistics, and optimization.