1106 search results - page 177 / 222 » On regularization algorithms in learning theory |
135
click to vote
ATAL
2008
Springer
15 years 6 months ago
2008
Springer
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
141
click to vote
PR
2008
15 years 4 months ago
2008
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
138
click to vote
CIKM
2007
Springer
15 years 10 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
140
click to vote
ECTEL
2007
Springer
15 years 10 months ago
2007
Springer
Motivation to learn is affected by a student’s self-efficacy, goal orientation, locus of control and perceived task difficulty. In the classroom, teachers know how to motivate th...
129
click to vote
AI
2006
Springer
15 years 8 months ago
2006
Springer
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...