Includes bibliographical references and index

A Simple machine-learning task -- Probabilities : bayesian classifiers -- Similarities : nearest-neighbor classifiers -- Inter-class boundaries : linear and polynomial classifiers -- Artificial neural networks -- Decision trees -- Computational learning theory -- A few instructive applications -- Induction of voting assemblies -- Some practical aspects to know about -- Performance evaluation -- Statistical significance -- induction in multi-label domains -- Unsupervised learning -- Classifiers in the form of rulesets -- The genetic algorithm -- Reinforcement learning

Available to OhioLINK libraries