Handbook of Relational Learning
CRC Press
1st Edition
Published on 15. May 2016
Book
Hardback
500 pages
978-1-4398-1294-5 (ISBN)
Description
With increased interest in relational learning and the growing importance of machine learning, artificial intelligence, and data mining, inductive logic programming (ILP)-at the boundary between machine learning and logic programming-is on the rise. Authored by a leading researcher in the field, this timely book provides the first comprehensive introduction to be published in over ten years. It uses an accessible approach to present key concepts in ILP and provide an overview of possible applications. The book covers important topics in the field, including probability and statistics, statistical relational learning, experimental design, and combinatorial algorithms.
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Product notice
Paper over boards
Illustrations
100 s/w Abbildungen
100 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-4398-1294-5 (9781439812945)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
IBM India Research Lab, New Delhi, India Khadki, India
Content
Section I: Concepts. Logic. Relations. Combinatorial Algorithms. Matrices. Optimisation. Probability. Statistics. Design of Experiments. Section II: Application. Mutagenesis.