890 search results - page 4 / 178 » Large Scale Online Learning |
NIPS
2001
13 years 11 months ago
2001
We study the dynamics of a Hebbian ICA algorithm extracting a single non-Gaussian component from a high-dimensional Gaussian background. For both on-line and batch learning we fin...
AAAI
2011
12 years 9 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
ML
2007
ACM
13 years 9 months ago
2007
ACM
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
AUSAI
2005
Springer
14 years 3 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...