Oldford cheeseman (13 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 1994

    0387942815 / 9780387942810

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    Librería: J. HOOD, BOOKSELLERS, ABAA/ILAB, Baldwin City, KS, Estados Unidos de AmericaJ. HOOD, BOOKSELLERS, ABAA/ILAB

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    Miembro de asociación: ABAAILAB

    Condición: Usado

    EUR 36,17

    Envío por EUR 4,39 
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    Cantidad disponible: 1 disponibles

    Paperback. 487pp. Sunned spine, light crease in front cover, both sticker scar & blind stamp on half-title page, else very good condition with text clean & binding sound.

  • Idioma: Inglés

    Editorial: Springer, 1994

    0387942815 / 9780387942810

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    Condición: Nuevo

    EUR 127,80

    Envío por EUR 13,13 
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    Cantidad disponible: Más de 20 disponibles

    Condición: New. In English.

  • Idioma: Inglés

    Editorial: Springer, 1994

    0387942815 / 9780387942810

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

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    Condición: Nuevo

    EUR 118,16

    Envío por EUR 35,00 
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    Cantidad disponible: 1 disponibles

    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: 'Selecting Models from Data'. The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of 'overfitting'-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the 'noise' in the original data.…

  • Idioma: Inglés

    Editorial: Springer, 1994

    0387942815 / 9780387942810

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

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    Condición: Nuevo

    EUR 156,47

    Envío por EUR 3,50 
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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 504.

  • Idioma: Inglés

    Editorial: Springer Verlag, 1994

    0387942815 / 9780387942810

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Condición: Nuevo

    EUR 158,94

    Envío por EUR 14,53 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Paperback. Condición: Brand New. 497 pages. 9.25x6.00x1.00 inches. In Stock.

  • Idioma: Inglés

    Editorial: Springer New York, 1994

    0387942815 / 9780387942810

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Condición: Usado - Como Nuevo

    EUR 148,51

    Envío por EUR 29,07 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: Springer New York, 1994

    0387942815 / 9780387942810

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    Librería: Buchpark, Trebbin, AlemaniaBuchpark

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    Condición: Usado - Bueno

    EUR 83,44

    Envío por EUR 105,00 
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    Cantidad disponible: 1 disponibles

    Condición: Gut. Zustand: Gut | Seiten: 504 | Sprache: Englisch | Produktart: Bücher | This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour­ aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data.…

  • Idioma: Inglés

    Editorial: Springer New York, 1994

    0387942815 / 9780387942810

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    Librería: Buchpark, Trebbin, AlemaniaBuchpark

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    Condición: Usado - Excelente

    EUR 85,94

    Envío por EUR 105,00 
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    Cantidad disponible: 1 disponibles

    Condición: Sehr gut. Zustand: Sehr gut | Seiten: 504 | Sprache: Englisch | Produktart: Bücher | This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour­ aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data.…

  • Idioma: Inglés

    Editorial: Springer, Humana Mai 1994, 1994

    0387942815 / 9780387942810

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

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    Condición: Nuevo

    EUR 106,99

    Envío por EUR 23,00 
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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: 'Selecting Models from Data'. The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of 'overfitting'-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the 'noise' in the original data. 504 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer New York, 1994

    0387942815 / 9780387942810

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 92,27

    Envío por EUR 48,99 
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    Cantidad disponible: Más de 20 disponibles

    Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and fro.…

  • Idioma: Inglés

    Editorial: Springer, 1994

    0387942815 / 9780387942810

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Nuevo

    EUR 159,97

    Envío por EUR 7,56 
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    Cantidad disponible: 4 disponibles

    Condición: New. Print on Demand pp. 504 6 Illus.

  • Idioma: Inglés

    Editorial: Springer, 1994

    0387942815 / 9780387942810

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: Nuevo

    EUR 159,35

    Envío por EUR 9,95 
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    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND pp. 504.

  • Idioma: Inglés

    Editorial: Springer, Springer Mai 1994, 1994

    0387942815 / 9780387942810

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 106,99

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: 'Selecting Models from Data'. The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of 'overfitting'-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the 'noise' in the original data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 504 pp. Englisch.…