AUC Maximization with K-hyperplane.

Majdi Khalid Indrakshi Ray Hamidreza Chitsaz

Published in: CoRR (2017)

Keyphrases

hyperplane
support vector
linear classifiers
logistic regression
training samples
feature space
data points
model selection
input space

linearly separable
class distribution
classification accuracy
support vector machine
feature selection
learning algorithm
decision boundary
naive bayes

decision trees
principal components
kernel function
classification procedure
incremental learning algorithm
convex hull
training set
objective function

svm classifier
locality sensitive
maximal margin
training data
linear separability
neural network
image classification
kernel space