Training SVMs on a bound vectors set based on Fisher projection.

Xu Yu Jing Yang Zhiqiang Xie

Published in: Frontiers Comput. Sci. (2014)

Keyphrases

machine learning
supervised learning
training set
feature vectors
feature selection
input pattern
support vector
probability distribution
upper bound
input data
text classification
svm classifier
convex hull
principal components
generalization ability
feature extraction
training speed