2440 search results - page 221 / 488 » Learn .MT: A New Approach to Incremental Learning |
173
click to vote
AAAI
2007
15 years 9 months ago
2007
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
162
click to vote
ECAI
2008
Springer
15 years 8 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
218
click to vote
CORR
2010
Springer
15 years 6 months ago
2010
Springer
In this paper, we address the problem of creating believable agents (virtual characters) in video games. We consider only one meaning of believability, "giving the feeling of...
208
click to vote
PAMI
2011
15 years 1 months ago
2011
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
177
click to vote
ICIAP
2009
ACM
16 years 7 months ago
2009
ACM
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...