Neural Networks for Conditional Probability Estimation

Name: Neural Networks for Conditional Probability Estimation
Brand: Springer London Ltd
SKU: 9781852330958
Price: 52.68 EUR
Availability: InStock

Forecasting Beyond Point Predictions

Автор: Dirk Husmeier

Език:

Корици: С меки корици

Издател: Springer London Ltd

Наличност: Външен склад

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52.68 € 103.02 лв

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

Информация за книгата

Автор

Dirk Husmeier

Език

Английски език

Корици

Книга - С меки корици

Издадена

1999

страници

275

EAN

9781852330958

ISBN

1852330953

Enbook ID

02181954

Издател

Springer London Ltd

Теглоt

462

Размери

155 x 235 x 17

Пълно описание

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

Информация за книгата

Пълно описание

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