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Point estimation using the Kullback-Leibler loss function and MML

Author
DOWE, D. L1 ; BAXTER, R. A1 ; OLIVER, J. J1 ; WALLACE, C. S1
[1] School of Computer Science and Software Engineering, Monash University, Clayton, Victoria 3168, Australia
Conference title
Research and development in knowledge discovery and data mining (Melbourne, April 15-17, 1998)
Conference name
PAKDD-98 : Pacific-Asia conference on research adn development in knowledge discovery and data mining (2 ; Melbourne 1998-04-15)
Author (monograph)
Wu Xindong (Editor); Kotagiri, Ramamohanarao (Editor); Korb, Kevin B (Editor)
Source

Lecture notes in computer science. 1998, pp 87-95 ; ref : 1 p.1/4

ISSN
0302-9743
ISBN
3-540-64383-4
Scientific domain
Computer science
Publisher
Springer-Verlag, Berlin / Springer-Verlag, New York NY
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Acquisition connaissance Algorithme apprentissage Complexité algorithme Estimation Bayes Méthode statistique Règle inférence Théorie information
Keyword (en)
Knowledge acquisition Learning algorithm Algorithm complexity Bayes estimation Statistical method Inference rule Information theory
Keyword (es)
Adquisición del conocimiento Algoritmo aprendizaje Complejidad algoritmo Estimación Bayes Método estadístico Regla inferencia Teoría información
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A03 Information theory

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
2042231

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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