Foundations of Inductive Logic Programming

Foundations of Inductive Logic Programming
Author: Shan-Hwei Nienhuys-Cheng
Publisher: Springer Science & Business Media
Total Pages: 440
Release: 1997-04-18
Genre: Computers
ISBN: 9783540629276

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

Inductive Logic Programming
Author: Francesco Bergadano
Publisher: MIT Press
Total Pages: 264
Release: 1996
Genre: Computers
ISBN: 9780262023931

Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance. 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-like systems), and a survey of methods and languages for specifying inductive bias. Logic Programming series

Probabilistic Inductive Logic Programming

Probabilistic Inductive Logic Programming
Author: Luc De Raedt
Publisher: Springer
Total Pages: 348
Release: 2008-02-26
Genre: Computers
ISBN: 354078652X

This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.

Simply Logical

Simply Logical
Author: Peter Flach
Publisher: Wiley
Total Pages: 256
Release: 1994-04-07
Genre: Computers
ISBN: 9780471942153

An introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material. A unique advantage to this work is the combination of AI, Prolog and Logic. Each technique is accompanied by a program implementing it. Seeks to simplify the basic concepts of logic programming. Contains exercises and authentic examples to help facilitate the understanding of difficult concepts.

Transactions on Petri Nets and Other Models of Concurrency II

Transactions on Petri Nets and Other Models of Concurrency II
Author: Wil van der Aalst
Publisher: Springer Science & Business Media
Total Pages: 311
Release: 2009-03-27
Genre: Computers
ISBN: 3642008984

Transactions on Petri Nets and Other Models of Concurrency (ToPNoC) II These Transactions publish archival papers in the broad area of Petri nets and other models of concurrency, ranging from theoretical work to tool support and industrial applications. ToPNoC issues are published as LNCS volumes, and hence are widely distributed and indexed. This Journal has its own Editorial Board which selects papers based on a rigorous two-stage refereeing process. ToPNoC contains: - Revised versions of a selection of the best papers from workshops and tutorials at the annual Petri net conferences - Special sections/issues within particular subareas (similar to those published in the Advances in Petri Nets series) - Other papers invited for publication in ToPNoC - Papers submitted directly to ToPNoC by their authors The second volume of ToPNoC focuses on Concurrency in Process-Aware Information Systems. Although the topic of business process management using information technology has been addressed by consultants and software developers in depth, more fundamental approaches towards such Process-Aware Information Systems (PAISs) have been rather uncommon. It wasn't until the 1990s that researchers started to work on the foundations of PAISs. Clearly, concurrency theory is an essential ingredient in these foundations as business processes are highly concurrent involving all types of routing logic and resource allocation mechanisms. The 16 papers in this special issue of ToPNoC cover topics ranging from the formal (mostly Petri-net based) foundations of PAISs to more applied topics such as flexibility and process mining. Thus, this volume gives a good overview of the state of the art in PAIS research.

Encyclopedia of Machine Learning

Encyclopedia of Machine Learning
Author: Claude Sammut
Publisher: Springer Science & Business Media
Total Pages: 1061
Release: 2011-03-28
Genre: Computers
ISBN: 0387307680

This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

Machine Learning Proceedings 1994

Machine Learning Proceedings 1994
Author: William W. Cohen
Publisher: Morgan Kaufmann
Total Pages: 398
Release: 2014-06-28
Genre: Computers
ISBN: 1483298183

Machine Learning Proceedings 1994

Relational Data Mining

Relational Data Mining
Author: Saso Dzeroski
Publisher: Springer Science & Business Media
Total Pages: 422
Release: 2001-08
Genre: Business & Economics
ISBN: 9783540422891

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.