9781441920157 - statistical and inductive inference by minimum message length di wallace, c.s. s. (8 risultati)
Lingua: Inglese
Editore: Springer 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Altre immaginiLingua: Inglese
Editore: Springer 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Statistical and Inductive Inference by Minimum Message Length | C. S. Wallace | Taschenbuch | Information Science and Statistics | xvi | Englisch | 2010 | Springer | EAN 9781441920157 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann…[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Lingua: Inglese
Editore: Springer New York 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mythanksareduetothemanypeoplewhohaveassistedintheworkreported here and in the preparation of this book. The work is incomplete and this account of it rougher than it might be. Such virtues as it has owe much to others; the faults are all mine. Myw…orkleadingtothisbookbeganwhenDavidBoultonandIattempted to develop a method for intrinsic classi cation. Given data on a sample from some population, we aimed to discover whether the population should be considered to be a mixture of di erent types, classes or species of thing, and, if so, how many classes were present, what each class looked like, and which things in the sample belonged to which class. I saw the problem as one of Bayesian inference, but with prior probability densities replaced by discrete probabilities re ecting the precision to which the data would allow parameters to be estimated. Boulton, however, proposed that a classi cation of the sample was a way of brie y encoding the data: once each class was described and each thing assigned to a class, the data for a thing would be partially implied by the characteristics of its class, and hence require little further description. After some weeks' arguing our cases, we decided on the maths for each approach, and soon discovered they gave essentially the same results. Without Boulton's insight, we may never have made the connection between inference and brief encoding, which is the heart of this work.
Lingua: Inglese
Editore: Springer 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer New York Dez 2010 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
- Brossura
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mythanksareduetothemanypeoplewhohaveassistedintheworkreported here and in the preparation of this book. The work is incomplete and this account of it rougher than it might be. Such virtues as it has owe much to others; the faults a…re all mine. MyworkleadingtothisbookbeganwhenDavidBoultonandIattempted to develop a method for intrinsic classi cation. Given data on a sample from some population, we aimed to discover whether the population should be considered to be a mixture of di erent types, classes or species of thing, and, if so, how many classes were present, what each class looked like, and which things in the sample belonged to which class. I saw the problem as one of Bayesian inference, but with prior probability densities replaced by discrete probabilities re ecting the precision to which the data would allow parameters to be estimated. Boulton, however, proposed that a classi cation of the sample was a way of brie y encoding the data: once each class was described and each thing assigned to a class, the data for a thing would be partially implied by the characteristics of its class, and hence require little further description. After some weeks' arguing our cases, we decided on the maths for each approach, and soon discovered they gave essentially the same results. Without Boulton's insight, we may never have made the connection between inference and brief encoding, which is the heart of this work. 448 pp. Englisch.
Lingua: Inglese
Editore: Springer New York 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
- Brossura
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Since 1965, Professor Wallace and others have been developing an approach tostatistical estimation, hypothesis testing, model selection and their applications in the Artificial Intelligence field of Machine LearningM…ythanksareduetothemanypeoplewh.
Lingua: Inglese
Editore: Springer, Springer Dez 2010 2010
Serie: Information Science and Statistics, Libro 3 di 20. Libro 3 di 20 - Information Science and Statistics
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Since 1965, Prof. Wallace and others have been developing an approach tostatistical estimation, hypothesis testing, model selection and their applications in the Artificial Intelligence field of Machine Learning. The approach is based…on Information Theory, using concepts from classical Shannon theory and more recent work on Algorithmic Complexity. The new approach has come to be called the Minimum Message Length principle, since it is based on the idea of constructing a message which concisely encodes the available data. Although a range of journal and conference papers has been published on the principle and its application, and several computer programs applying it have been shown to perform well and have been fairly widely used, there is no text providing a thorough treatment of the principle or giving general guidance for its application.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.
