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Handbook of Relational Learning

Ashwin Srinivasan, Ganesh Ramakrishnan (Autoren)

Buch | Hardcover

500 Seiten

2016
Crc Press Inc (Verlag)
9781439812945 (ISBN)

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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. This book covers important topics in the field.

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.

IBM India Research Lab, New Delhi, India Khadki, India

Section I: Concepts. Logic. Relations. Combinatorial Algorithms. Matrices. Optimisation. Probability. Statistics. Design of Experiments. Section II: Application. Mutagenesis.

Erscheint lt. Verlag	15.5.2016
Reihe/Serie	Chapman & Hall/CRC Machine Learning & Pattern Recognition
Verlagsort	Bosa Roca
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-13	9781439812945 / 9781439812945
Zustand	Neuware