Machine learning. (English) Zbl 0913.68167

Frankfurt/Main: McGraw-Hill. 352 p. (1997).
Publisher’s description: This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.
Contents: Introductions. Concept learning and the general-to-specific ordering. Decision tree learning. Artificial neural networks. Evaluating hypotheses. Bayesian learning. Computational learning. Instance-based learning. Inductive logic programming, Analytical learning. Combining inductive and analytical learning. Reinforcement learning.


68T05 Learning and adaptive systems in artificial intelligence
68-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science