Statistics and Neural Networks: Advances at the Interface Book

Name: Statistics and Neural Networks: Advances at the Interface, In the
Brand: University Press
SKU: 9780198524229
Price: 144.00 USD
Availability: InStock
Rating: 3 (2 reviews)

2 Ratings

Statistics and Neural Networks: Advances at the Interface, In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applicatio, Statistics and Neural Networks: Advances at the Interface

3 out of 5 stars based on 2 reviews

Statistics and Neural Networks: Advances at the Interface
Written by author Jim W. Kay
Published by Oxford University Press, USA, April 2000
In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applicatio
In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applicatio

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Book Categories

Authors

Contributors
1 Flexible Discriminant and Mixture Models 1
2 Neural Networks for Unsupervised Learning Based on Information Theory 25
3 Radial Basis Function Networks and Statistics 65
4 Robust Prediction in Many-parameter Models 97
5 Density Networks 129
6 Latent Variable Models and Data Visualisation 147
7 Analysis of Latent Structure Models with Multidimensional Latent Variables 165
8 Artificial Neural Networks and Multivariate Statistics 195
Index 259

Title: Statistics and Neural Networks: Advances at the Interface

Manufacturer:

University Press

Item Number: 9780198524229

Publication Date: April 2000

Number: 1

Product Description: Full Name: Statistics and Neural Networks: Advances at the Interface; Short Name:Statistics and Neural Networks

Universal Product Code (UPC): 9780198524229

WonderClub Stock Keeping Unit (WSKU): 9780198524229

Rating: 3/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/42/29/9780198524229.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 6.400 cm (2.52 inches)

Heigh : 9.300 cm (3.66 inches)

Depth: 0.800 cm (0.31 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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Sophia Stolt

reviewed Statistics and Neural Networks: Advances at the Interface on October 28, 2018

Statistics and Neural Networks: Advances at the Interface

Fascinating read but quite outdated

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Statistics and Neural Networks: Advances at the Interface, In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applicatio, Statistics and Neural Networks: Advances at the Interface

Add Statistics and Neural Networks: Advances at the Interface, In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applicatio, Statistics and Neural Networks: Advances at the Interface to the inventory that you are selling on WonderClub

Add Statistics and Neural Networks: Advances at the Interface, In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applicatio, Statistics and Neural Networks: Advances at the Interface to your collection on WonderClub

Statistics and Neural Networks: Advances at the Interface Book

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	Contributors
1	Flexible Discriminant and Mixture Models	1
2	Neural Networks for Unsupervised Learning Based on Information Theory	25
3	Radial Basis Function Networks and Statistics	65
4	Robust Prediction in Many-parameter Models	97
5	Density Networks	129
6	Latent Variable Models and Data Visualisation	147
7	Analysis of Latent Structure Models with Multidimensional Latent Variables	165
8	Artificial Neural Networks and Multivariate Statistics	195
	Index	259