1174 search results - page 40 / 235 » Boosting for transfer learning |
ACCV
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
AIED
2009
Springer
15 years 4 months ago
2009
Springer
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
ICMLA
2009
14 years 7 months ago
2009
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
ICANN
1997
Springer
15 years 2 months ago
1997
Springer
A new boosting algorithm ADABOOST-R for regression problems is presented and upper bound on the error is obtained. Experimental results to compare ADABOOST-R and other learning alg...