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Foundations Of Inductive Logic Programming

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Foundations Of Inductive Logic Programming

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Author : Shan-Hwei Nienhuys-Cheng
language : en
Publisher:
Release Date : 2014-01-15

Foundations Of Inductive Logic Programming written by Shan-Hwei Nienhuys-Cheng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.

Foundations Of Inductive Logic Programming

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Author : Shan-Hwei Nienhuys-Cheng
language : en
Publisher:
Release Date : 1997

Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial is the first theoretical introduction to ILP; it provides the reader with a rigorous and sufficiently broad basis for future research in the area. In the first part, a thorough treatment of first-order logic, resolution-based theorem proving, and logic programming is given. The second part introduces the main concepts of ILP and systematically develops the most important results on model inference, inverse resolution, unfolding, refinement operators, least generalizations, and ways to deal with background knowledge. Furthermore, the authors give an overview of PAC learning results in ILP and of some of the most relevant implemented systems.

Foundations Of Inductive Logic Programming

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Author : Shan-Hwei Nienhuys-Cheng
language : en
Publisher:
Release Date : 1998

Foundations Of Probabilistic Logic Programming

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Author : Fabrizio Riguzzi
language : en
Publisher: River Publishers
Release Date : 2018-09-01

Foundations Of Probabilistic Logic Programming written by Fabrizio Riguzzi and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Computers categories.

Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming. Logic enables the representation of complex relations among entities while probability theory is useful for model uncertainty over attributes and relations. Combining the two is a very active field of study. Probabilistic Programming extends programming languages with probabilistic primitives that can be used to write complex probabilistic models. Algorithms for the inference and learning tasks are then provided automatically by the system. Probabilistic Logic programming is at the same time a logic language, with its knowledge representation capabilities, and a Turing complete language, with its computation capabilities, thus providing the best of both worlds. Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. Foundations of Probabilistic Logic Programming aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online.

Inductive Logic Programming

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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-30

Inductive Logic Programming written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Computers categories.

What Is Inductive Logic Programming A subfield of symbolic artificial intelligence known as inductive logic programming (ILP) use logic programming as a consistent representation for examples, background knowledge, and hypotheses. An ILP system will develop a hypothesised logic program in the event that it is provided with an encoding of the known background knowledge and a collection of examples that are represented as a logical database of facts. This program will involve all of the positive examples and none of the negative instances.In this model, the hypothesis is derived from positive instances, negative examples, and background knowledge. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Inductive Logic Programming Chapter 2: Stephen Muggleton Chapter 3: Progol Chapter 4: Program Synthesis Chapter 5: Inductive Programming Chapter 6: First-Order Logic Chapter 7: List of Rules of Inference Chapter 8: Disjunctive Normal Form Chapter 9: Resolution (Logic) Chapter 10: Answer Set Programming (II) Answering the public top questions about inductive logic programming. (III) Real world examples for the usage of inductive logic programming in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of inductive logic programming' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of inductive logic programming.

Inductive Logic Programming

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Author : Fabrizio Riguzzi
language : en
Publisher: Springer
Release Date : 2013-06-04

Inductive Logic Programming written by Fabrizio Riguzzi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-04 with Mathematics categories.

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.

Foundations Of Inductive Logic Programming

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Author : Shan-Hwei Nienhuys-Cheng
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-04-18

Foundations Of Inductive Logic Programming written by Shan-Hwei Nienhuys-Cheng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-18 with Computers categories.

The state of the art of the bioengineering aspects of the morphology of microorganisms and their relationship to process performance are described in this volume. Materials and methods of the digital image analysis and mathematical modeling of hyphal elongation, branching and pellet formation as well as their application to various fungi and actinomycetes during the production of antibiotics and enzymes are presented.

Inductive Logic Programming

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Author : James Cussens
language : en
Publisher: Springer
Release Date : 2017-07-15

Inductive Logic Programming written by James Cussens and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-15 with Computers categories.

This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Conference on Inductive Logic Programming, ILP 2016, held in London, UK, in September 2016. The 10 full papers presented were carefully reviewed and selected from 29 submissions. The papers represent well the current breath of ILP research topics such as predicate invention; graph-based learning; spatial learning; logical foundations; statistical relational learning; probabilistic ILP; implementation and scalability; applications in robotics, cyber security and games.

Inductive Logic Programming

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Author : Stephen Muggleton
language : en
Publisher: Boom Koninklijke Uitgevers
Release Date : 1997-09-03

Inductive Logic Programming written by Stephen Muggleton and has been published by Boom Koninklijke Uitgevers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-09-03 with Computers categories.

This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996. The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.

Foundations Of Logic Programming

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Author : J. W. Lloyd
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Foundations Of Logic Programming written by J. W. Lloyd and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

This book gives an account oC the mathematical Coundations oC logic programming. I have attempted to make the book selC-contained by including prooCs of almost all the results needed. The only prerequisites are some Camiliarity with a logic programming language, such as PROLOG, and a certain mathematical maturity. For example, the reader should be Camiliar with induction arguments and be comCortable manipulating logical expressions. Also the last chapter assumes some acquaintance with the elementary aspects of metric spaces, especially properties oC continuous mappings and compact spaces. Chapter 1 presents the declarative aspects of logic programming. This chapter contains the basic material Crom first order logic and fixpoint theory which will be required. The main concepts discussed here are those oC a logic program, model, correct answer substitution and fixpoint. Also the unification algorithm is discussed in some detail. Chapter 2 is concerned with the procedural semantics oC logic programs. The declarative concepts are implemented by means oC a specialized Corm oC resolution, called SLD-resolution. The main results of this chapter concern the soundness and completeness oC SLD-resolution and the independence oC the computation rule. We also discuss the implications of omitting the occur check from PROLOG implementations. Chapter 3 discusses negation. Current PROLOG systems implement a form of negation by means of the negation as failure rule. The main results of this chapter are the soundness and completeness oC the negation as failure rule.

Foundations Of Inductive Logic Programming

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