530 search results - page 23 / 106 » Learning Bounds for Domain Adaptation |
COLT
2008
Springer
13 years 12 months ago
2008
Springer
We study on-line decision problems where the set of actions that are available to the decision algorithm vary over time. With a few notable exceptions, such problems remained larg...
COLT
1994
Springer
14 years 2 months ago
1994
Springer
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
FOCS
2002
IEEE
14 years 3 months ago
2002
IEEE
We consider the problem of learning a matching (i.e., a graph in which all vertices have degree 0 or 1) in a model where the only allowed operation is to query whether a set of ve...
CIKM
2008
Springer
14 years 1 days ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
IJCAI
1997
13 years 11 months ago
1997
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...