Advances in Supervised and Unsupervised Learning of Bayesian Networks: Application to Population Genetics - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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).
"About this title" may belong to another edition of this title.
Search results for Advances in Supervised and Unsupervised Learning of...
Seller Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks
Published by
LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 224 pp. Englisch. Seller Inventory # 9783838333441
Buy New
US$ 94.50
US$ 26.71 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Seller Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 5413928
Buy New
US$ 75.86
US$ 56.90 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 224. Seller Inventory # 26128839315
Stock Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand pp. 224 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Seller Inventory # 131748172
Buy New
US$ 140.02
US$ 8.65 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Seller Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks | Application to Population Genetics
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Advances in Supervised and Unsupervised Learning of Bayesian Networks | Application to Population Genetics | Guzmán Santafé | Taschenbuch | 224 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838333441 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 107438978
Buy New
US$ 79.43
US$ 81.30 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 5 available
Stock Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND pp. 224. Seller Inventory # 18128839321
Buy New
US$ 150.69
US$ 11.56 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 4 available
Seller Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks
Published by
LAP LAMBERT Academic Publishing Aug 2010, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch. Seller Inventory # 9783838333441
Buy New
US$ 94.50
US$ 69.68 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available
Seller Image
Advances in Supervised and Unsupervised Learning of Bayesian Networks : Application to Population Genetics
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838333446
ISBN 13: 9783838333441
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783838333441
Buy New
US$ 94.50
US$ 71.73 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available