883

Kubat, Miroslav,author

2nd ed. 2017.

1 online resource (XIII, 348 pages 85 illustrations, 3 illustrations in color.)

1 A Simple Machine-Learning Task -- 2 Probabilities: Bayesian Classifiers -- Similarities: Nearest-Neighbor Classifiers -- 4 Inter-Class Boundaries: Linear and Polynomial Classifiers -- 5 Artificial Neural Networks -- 6 Decision Trees -- 7 Computational Learning Theory -- 8 A Few Instructive Applications -- 9 Induction of Voting Assemblies -- 10 Some Practical Aspects to Know About -- 11 Performance Evaluation -- 12 Statistical Significance -- 13 Induction in Multi-Label Domains -- 14 Unsupervised Learning -- 15 Classifiers in the Form of Rulesets -- 16 The Genetic Algorithm -- 17 Reinforcement Learning