ISBN: 9783838333441 - advances in supervised and unsupervised learning of bayesian networks: application to population genetics (8 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838333446 / 9783838333441

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 63,42

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    Cantidad disponible: Más de 20 disponibles

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  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010

    3838333446 / 9783838333441

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    EUR 126,87

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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 224.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838333446 / 9783838333441

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 66,50

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    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Aug 2010, 2010

    3838333446 / 9783838333441

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838333446 / 9783838333441

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 79,00

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010

    3838333446 / 9783838333441

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Nuevo

    EUR 131,69

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    Cantidad disponible: 4 disponibles

    Condición: 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.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Aug 2010, 2010

    3838333446 / 9783838333441

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    EUR 79,00

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010

    3838333446 / 9783838333441

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 132,19

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    Condición: New. PRINT ON DEMAND pp. 224.