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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie & Statistik Statistical and Inductive Inference by Minimum Message Length
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Statistical and Inductive Inference by Minimum Message Length
C.S. Wallace (Gebundene Ausgabe, Englisch)
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Beschreibung
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. 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. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
26.05.2005
Sprache
Englisch
EAN
9780387237954
Herausgeber
Springer US
Serien- oder Bandtitel
Information Science and Statistics
Sonderedition
Nein
Autor
C.S. Wallace
Seitenanzahl
432
Einbandart
Gebundene Ausgabe
Einbandart Details
Laminiert
Schlagwörter
Computer, Information, Sage, data mining, formal specification, learning, machine learning
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
UYQ - Künstliche Intelligenz
GPJ - Kodierungstheorie und Verschlüsselung (Kryptologie)
GPF - Informationstheorie
UYAM - Mathematik für Informatiker
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer Nature B.V., ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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