3250 search results - page 276 / 650 » Parameterized Learning Complexity |
161
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
146
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
170
Voted
ISMAR
2005
IEEE
15 years 11 months ago
2005
IEEE
Modern society requires the public to have an increased knowledge of science beyond the basics, with average people needing to understand concepts in science, technology, engineer...
160
click to vote
SEMWEB
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. Ontology alignment is a prerequisite in order to allow for interoperation between different ontologies and many alignment strategies have been proposed to facilitate the ...
178
Voted
ECML
1997
Springer
15 years 10 months ago
1997
Springer
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...