Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions

Edmondo Trentin

doi:10.1007/11829898_1

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Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions

Edmondo Trentin

Year: 2006 Lecture notes in computer science Pages: 1-10 Publisher: Springer Science+Business Media

DOI: 10.1007/11829898_1

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Keywords:

Nonparametric statistics Computer science Kernel density estimation Probability density function Density estimation Artificial neural network Simple (philosophy) Parametric statistics Probability distribution Connectionism Algorithm Exponential family Artificial intelligence Pattern recognition (psychology) Parametric model Machine learning Mathematics Statistics

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Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions

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