3694 search results - page 360 / 739 » Stochastic complexity in learning |
178
click to vote
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
176
click to vote
TSMC
2008
15 years 6 months ago
2008
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
165
click to vote
NN
1998
Springer
15 years 6 months ago
1998
Springer
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
178
click to vote
SAGT
2010
Springer
15 years 5 months ago
2010
Springer
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...
181
click to vote
ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...