Selecting Classifiers Techniques for Outcome Prediction Using Neural Networks Approach


Autoria(s): Shatovskaya, Tatiana
Data(s)

07/12/2009

07/12/2009

2007

Resumo

This paper presents an analysis of different techniques that is designed to aid a researcher in determining which of the classification techniques would be most appropriate to choose the ridge, robust and linear regression methods for predicting outcomes for specific quasi-stationary process.

Identificador

1313-0463

http://hdl.handle.net/10525/694

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Classification Techniques #Neural Network #Composite Classifier
Tipo

Article