Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss.

Xiaohan Zheng Li Zhang Leilei Yan

Published in: KSEM (1) (2020)

Keyphrases

feature selection
support vector machine
high dimension
sparse pca
multi class
quadratic optimization
support vector
small sample
svm classifier
reduced set
feature space
sparse representation
support vector machine svm

machine learning
sparse data
classification accuracy
feature selection algorithms
feature set
text classification
k nearest neighbor
text categorization
dimensionality reduction
knn
selected features
radial basis function
irrelevant features

feature extraction
classification algorithm
kernel methods
svm classification
high dimensional
feature ranking
generalization ability
mutual information
compressive sensing
decision trees
training set
feature selection and classification
web image annotation

support vectors
information gain
feature subset
high dimensionality
kernel function
naive bayes
unsupervised learning
model selection
feature vectors
ensemble classifier
classification models
data sets
image classification