908 search results - page 110 / 182 » Stochastic Finite Learning |
159
Voted
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
143
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
129
Voted
ML
2008
ACM
15 years 2 months ago
2008
ACM
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
121
Voted
NC
2002
15 years 2 months ago
2002
Second order statistics have formed the basis of learning and adaptation due to its appeal and analytical simplicity. On the other hand, in many realistic engineering problems requ...
113
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...