Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse.

Gero Szepannek Claus Weihs

Published in: GfKl (2005)

Keyphrases

variable selection
data sets
input variables
cross validation
neural network
training data
high dimensional
active learning
knowledge discovery
raw data
feature selection
computer vision
support vector
artificial neural networks
data points
support vector machine svm