Advances in Supervised and Unsupervised Learning of Bayesian Networks: Application to Population Genetics - Softcover

Santafé, Guzmán

Softcover

ISBN 10: 3838333446 ISBN 13: 9783838333441

Verlag: LAP LAMBERT Academic Publishing, 2010

Inhaltsangabe

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 discriminative approach and presents new proposals to learn both structure and parameters of Bayesian network classifiers from a discriminative point of view. On the other hand, the part related to data clustering introduces new methods to deal with Bayesian model averaging for clustering. Additionally, the proposed methods are evaluated in diferent sinthetic and real datasets including a real problem taken from the field of population genetics.

Über diesen Titel

Über die Autorin bzw. den Autor

Guzman Santafe received the M.Sc. and the PhD degrees in computer science from the University of the Basque Country in 2002 and 2007 respectively. He has worked as a machine learning expert in a computer security company for more than two years and currently he is a researcher at the Intelligent Systems Group (University of the Basque Country).

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2010
• Sprache: Englisch
• ISBN 10: 3838333446
• ISBN 13: 9783838333441
• Einband: Taschenbuch
• Anzahl der Seiten: 224
• Kontakt zum Hersteller: Edicoes Nosso Conhecimento; customerservice@vdm-vsg.de; ; SIA; Riga; 1039; Litauen