Feature selection SVM through Universum and its applications on text classification Feature selection SVM through Universum.

Junshan Yin Chunna Li

Published in: SPCNC (2023)

Keyphrases

dimension reduction
feature selection
text classification
binary classification
support vector
semi supervised learning
unbalanced data
maximum margin
support vector machine
labeled data
multi class
naive bayes
text categorization
unsupervised learning

misclassification costs
feature extraction
multi label
text data
feature space
cost sensitive
standard svm
dimensionality reduction
machine learning
unlabeled data
multi class classification
support vector machine svm
text classifiers
feature set

multi task
hyperplane
selected features
knn
learning problems
classification accuracy
semi definite programming
svm classifier
model selection
feature weighting
feature reduction
svm classification
single class
support vectors

class imbalance
transfer learning
multiple kernel learning
kernel function
target domain
generalization ability
k nearest neighbor
ridge regression
semi supervised
linear svm
feature subset
kernel methods
data mining