Login / Signup
Optimal feature selection for nonlinear data using branch-and-bound in kernel space.
Matthias Ring
Björn M. Eskofier
Published in:
Pattern Recognit. Lett. (2015)
Keyphrases
</>
branch and bound
feature selection
kernel space
optimal solution
data sets
lower bound
upper bound
neural network
machine learning
training data
data points
evolutionary algorithm
input data
branch and bound algorithm
column generation