Neural Networks for Conditional Probability Estimation

Name: Neural Networks for Conditional Probability Estimation
Brand: Springer London Ltd
SKU: 9781852330958
Price: 1147 CZK
Availability: InStock

Forecasting Beyond Point Predictions

Autor: Dirk Husmeier

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer London Ltd

Dostupnost: Skladem u dodavatele

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This volume presents a neural network architecture for the prediction of conditional probability den...

Informace o knize

Autor

Dirk Husmeier

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

1999

Stránek

275

EAN

9781852330958

ISBN

1852330953

Enbook ID

02181954

Vydavatel

Springer London Ltd

Hmotnost

462

Rozměry

155 x 235 x 17

Kompletní popis

This volume presents a neural network architecture for the prediction of conditional probability densities - which is vital when carrying out universal approximation on variables which are either strongly skewed or multimodal. Two alternative approaches are discussed: the GM network, in which all parameters are adapted in the training scheme, and the GM-RVFL model which draws on the random functional link net approach. Points of particular interest are: - it examines the modification to standard approaches needed for conditional probability prediction; - it provides the first real-world test results for recent theoretical findings about the relationship between generalisation performance of committees and the over-flexibility of their members; This volume will be of interest to all researchers, practitioners and postgraduate / advanced undergraduate students working on applications of neural networks - especially those related to finance and pattern recognition.

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Neural Networks for Conditional Probability Estimation

Forecasting Beyond Point Predictions

Informace o knize

Kompletní popis

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