Carte Neural Networks for Conditional Probability Estimation Dirk Husmeier

Neural Networks for Conditional Probability Estimation

Forecasting Beyond Point Predictions

Autor: Dirk Husmeier
Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
276.48 lei
This volume presents a neural network architecture for the prediction of conditional probability den...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
1999
Pagini
275
EAN
9781852330958
ISBN
1852330953
Enbook ID
02181954
Greutate
462
Dimensiuni
155 x 235 x 17

Descriere completă

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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