5 edition of **Inductive Logic Programming (Apic Studies in Data Processing)** found in the catalog.

- 300 Want to read
- 31 Currently reading

Published
**July 27, 1992**
by Morgan Kaufmann
.

Written in English

- Machine learning,
- Programming - Object Oriented Programming,
- Computer Logic,
- Computer Programming,
- Computers,
- Computers - Languages / Programming,
- Computer Books: General,
- Artificial Intelligence - General,
- Computers / Artificial Intelligence

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 544 |

ID Numbers | |

Open Library | OL9282939M |

ISBN 10 | 0125097158 |

ISBN 10 | 9780125097154 |

Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, inverse resolution, and inverse implication), an analysis of top-down methods (mainly MIS and FOIL . This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Conference on Inductive Logic Programming, ILP , held in Nancy, France, in September The 14 revised papers presented were carefully reviewed and selected from 41 : Springer International Publishing.

Foundations of Inductive Logic Programming January January Read More. Authors: Shan-Hwei Nienhuys-Cheng, ; Ronald de Wolf. Within this book, the author makes several major contributions, including the introduction of a series of definitions which circumscribe the new area formed by extending Inductive Logic Programming to the case in which clauses are annotated with probability values.

This book constitutes the refereed proceedings of the 11th International Conference on Inductive Logic Programming, ILP , held in Strasbourg, France. Our Stores Are Open Book Annex Membership Educators Gift Cards Stores & Events HelpPrice: $ This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Conference on Inductive Logic Programming, ILP , held in Kyoto, Japan, in August The 14 revised papers presented Brand: Springer International Publishing.

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This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Conference on Inductive Logic Programming, ILPheld in Nancy, France, in September The 1.

This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and.

Inductive logic programming is a new research area formed at the intersection of machine learning and logic programming. While the influence of logic programming has encouraged the development of.

Book Description: This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park.

The collection marks two decades since the first ILP workshop in During this period the area has developed into the main forum for work on logic-based machine learning.

Inductive Logic Programming is a research area situated in machine learning and logic programming, two subfields of artificial intelligence. The goal of inductive logic programming. The term Inductive Logic Programming was first introduced in a paper by Stephen Muggleton in Muggleton also founded the annual international conference on Inductive Logic Programming, introduced the theoretical ideas of Predicate Invention, Inverse resolution, and Inverse entailment.

1 “Change is inevitable.” Embracing this quote we have tried to carefully exp- iment with the format of this conference, the 15th International Conference on Inductive Logic Programming, hopefully making it even better than it already was.

But it Inductive Logic Programming book be up to you, the inquisitive reader of this book, to judge our success. Introduction This book constitutes the thoroughly refereed post-proceedings of the 20th International Conference on Inductive Logic Programming, ILP.

Probabilistic inductive logic programming aka. statistical relational learning addresses one of the central questions of artificial intelligence: the integration of probabilistic reasoning with machine learning and first order and relational logic.

Interest in inductive logic programming has waxed and waned over the last decade, but never fallen to zero. This book is a summary of what was known in the field inand much has changed since then. It can however still serve as an introduction to the field of inductive logic programming, in spite of its publication date.4/4(1).

This book constitutes the refereed conference proceedings of the 28th International Conference on Inductive Logic Programming, ILPheld in Ferrara, Italy, in September The 10 full papers presented were carefully reviewed and selected from numerous submissions.

Inductive Logic Programming (ILP) is a subfield of machine learning. Probabilistic inductive logic programming aka. statistical relational learning addresses one of the central questions of artificial intelligence: the integration of probabilistic reasoning with.

This book constitutes the refereed proceedings of the 8th International Conference on Inductive Logic Programming, ILP, held in Madison, Wisconsin, USA, in July The 27 revised full papers presented together with the abstracts of three invited talks were carefully reviewed and selected for inclusion in the book.

This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILPheld in Plovdiv, Bulgaria, in September The 11 papers presented were carefully reviewed and selected from numerous submissions.

The inherent dangers of change are often summed up in the misquoted Chinese curse “May you live in interesting times.” The submission procedure for the 16th International Conference of Inductive Logic Programming (ILP ) was a radical.

The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, JulyThe conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML) and the Fifteenth Annual Conference on Computational Learning Theory (COLT).

This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Conference on Inductive Logic Programming, ILPheld in Kyoto, Japan, in August The 14 revised papers presented were.

Inductive logic programming is characterized as the `intersection of machine learning and logic programming', whose goal is to learn from examples within the framework of clausal logic. The examples and the `background knowledge' are clauses, and the theory derived from them will also consist of by: This book represents a selection of papers presented at the Inductive Logic Programming (Ilp) workshop held at Cumberland Lodge, Great Windsor Park.

The collection marks two decades since the first Ilp workshop in During this period the area has developed into the main forum for work on logic-based machine learning.5/5(1).

I like this book a lot, It really gets down to the real knitty gritty of logic, and machine learning. It gives good ideas for programming, no matter which language you use 5/5(2).

Probabilistic Inductive Logic Programming (Lecture Notes in Computer Science ()) [De Raedt, Luc, Frasconi, Paolo, Kersting, Kristian, Muggleton, Stephen H.] on *FREE* shipping on qualifying offers.

Probabilistic Inductive Logic Programming (Lecture Notes in Computer Science ())5/5(1).Inductive logic programming is a new research area emerging at present.

Whilst inheriting various positive characteristics of the parent subjects of logic programming an machine learning, it is hoped that the new area will overcome many of the limitations of its forbears. Inductive Logic Programming: 22nd International Conference, ILPDubrovnik, Croatia, SeptemberRevised Selected papers by Fabrizio Riguzzi, Paperback | Barnes & Noble® This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILPheld inPages: