Machine Learning and Data Mining
One of the major AI applications is the development of intelligent autonomous robots. Since flexibility and adaptivity are important features of really intelligent agents, research into learning mechanisms and the development of machine learning algorithms is one of the most important branches of AI. After motivating and introducing basic concepts of machine learning like classification and approximation, this chapter presents basic supervised learning algorithms such as the perceptron, nearest neighbor methods and decision tree induction. Unsupervised clustering methods and data mining software tools complete the picture of this fascinating field.
KeywordsDecision Tree Training Data Learning Algorithm Bayesian Network Voronoi Diagram
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