Manifold optimal experimental design via dependence maximization for active learning.

Ping Li Jiajun Bu Chun Chen Deng Cai

Published in: Neurocomputing (2014)

Keyphrases

experimental design
active learning
stochastic dynamic programming
uncertainty sampling
empirical studies
experimental designs
learning algorithm
optimal solution
learning strategies
learning process
random sampling
class imbalance
objective function
support vector
semi supervised