Learning the kernel matrix via predictive low-rank approximations.

Martin Strazar Tomaz Curk

Published in: CoRR (2016)

Keyphrases

kernel matrix
learning algorithm
kernel methods
learning problems
data sets
active learning
feature space
low rank approximation
data points
unsupervised learning
singular value decomposition
learning tasks
input space
multi task
metric learning