Advances in Supervised and Unsupervised Learning of Bayesian Networks
Guzmán Santafé
Broschiertes Buch

Advances in Supervised and Unsupervised Learning of Bayesian Networks

Application to Population Genetics

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Supervised classification and data clustering are two fundamental disciplines of data mining and machine learning where probabilistic graphical models, and particularly Bayesian networks, have become very popular paradigms. This book aims to contribute to the state of the art of both supervised classification and data clustering disciplines by providing new algorithms to learn Bayesian networks. On the one hand, the contributions related to supervised classification are focused on the discriminative learning of Bayesian network classifiers. Part of this book tries to motivate the use of this d...