Performance analyses of the stochastic maximum likelihood and the subspace power estimation algorithms.

Seth D. Silverstein

Published in: ICASSP (4) (1993)

Keyphrases

maximum likelihood
learning algorithm
benchmark datasets
computational cost
feature selection
support vector
optimization problems
theoretical analysis
reinforcement learning
computational complexity
significant improvement
computationally efficient
stochastic approximation
regularized regression