From Statistics to Neural Networks
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18

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Published By Springer Berlin Heidelberg

9783642791215, 9783642791192

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Neural Networks, Bayesian a posteriori Probabilities, and Pattern Classification

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_4 ◽

1994 ◽

pp. 83-104 ◽

Author(s):

Richard P. Lippmann

Keyword(s):

Neural Networks ◽

Pattern Classification ◽

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Nonparametric Regression and Classification Part II—Nonparametric Classification

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_3 ◽

1994 ◽

pp. 70-82 ◽

Author(s):

T. J. Hastie ◽

R. J. Tibshirani

Keyword(s):

Nonparametric Regression ◽

Nonparametric Classification

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Recognition of 3-D Objects from Multiple 2-D Views by a Self-Organizing Neural Architecture

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_17 ◽

1994 ◽

pp. 349-375

Author(s):

Gary Bradski ◽

Stephen Grossberg

Keyword(s):

Neural Architecture ◽

Self Organizing

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Improved Hidden Markov Models for Speech Recognition Through Neural Network Learning

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_11 ◽

1994 ◽

pp. 226-242

Author(s):

Chris J. Wellekens

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Neural Network Learning ◽

Network Learning

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Prediction Risk and Architecture Selection for Neural Networks

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_7 ◽

1994 ◽

pp. 147-165 ◽

Author(s):

John Moody

Keyword(s):

Neural Networks ◽

Prediction Risk ◽

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Self-Organizing Networks for Nonparametric Regression

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_9 ◽

1994 ◽

pp. 188-212 ◽

Author(s):

Vladimir Cherkassky ◽

Filip Mulier

Keyword(s):

Nonparametric Regression ◽

Self Organizing Networks ◽

Self Organizing

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An Overview of Predictive Learning and Function Approximation

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_1 ◽

1994 ◽

pp. 1-61 ◽

Author(s):

Jerome H. Friedman

Keyword(s):

Function Approximation ◽

Predictive Learning ◽

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Chaotic Dynamics in Neural Pattern Recognition

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_18 ◽

1994 ◽

pp. 376-394

Author(s):

Walter J. Freeman

Keyword(s):

Pattern Recognition ◽

Chaotic Dynamics

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Regularization Theory, Radial Basis Functions and Networks

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_8 ◽

1994 ◽

pp. 166-187 ◽

Author(s):

Federico Girosi

Keyword(s):

Radial Basis Functions ◽

Basis Functions ◽

Regularization Theory ◽

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Parametric Statistical Estimation with Artificial Neural Networks: A Condensed Discussion

From Statistics to Neural Networks ◽

10.1007/978-3-642-79119-2_6 ◽

1994 ◽

pp. 127-146 ◽

Author(s):

Halbert White

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Statistical Estimation ◽

Artificial Neural

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