Principles of Nonparametric Learning
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Published By Springer Vienna

9783211836880, 9783709125687

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Learning-Theoretic Methods in Vector Quantization

Principles of Nonparametric Learning ◽

10.1007/978-3-7091-2568-7_4 ◽

2002 ◽

pp. 163-210 ◽

Cited By ~ 11

Author(s):

T. Linder

Keyword(s):

Vector Quantization

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Universal Prediction

Principles of Nonparametric Learning ◽

10.1007/978-3-7091-2568-7_3 ◽

2002 ◽

pp. 113-162

Author(s):

N. Cesa-Bianchi

Keyword(s):

Universal Prediction

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Nonparametric Regression Estimation

Principles of Nonparametric Learning ◽

10.1007/978-3-7091-2568-7_2 ◽

2002 ◽

pp. 57-112

Author(s):

L. Györfi ◽

M. Kohler

Keyword(s):

Nonparametric Regression ◽

Regression Estimation ◽

Nonparametric Regression Estimation

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Distribution and Density Estimation

Principles of Nonparametric Learning ◽

10.1007/978-3-7091-2568-7_5 ◽

2002 ◽

pp. 211-270 ◽

Cited By ~ 4

Author(s):

L. Devroye ◽

L. Györfi

Keyword(s):

Density Estimation

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Pattern Classification and Learning Theory

Principles of Nonparametric Learning ◽

10.1007/978-3-7091-2568-7_1 ◽

2002 ◽

pp. 1-56 ◽

Cited By ~ 15

Author(s):

G. Lugosi

Keyword(s):

Pattern Classification ◽

Learning Theory

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Genetic Programming Applied to Model Identification

Principles of Nonparametric Learning ◽

10.1007/978-3-7091-2568-7_6 ◽

2002 ◽

pp. 271-335

Author(s):

M. Sebag

Keyword(s):

Genetic Programming ◽

Model Identification

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