530 search results - page 65 / 106 » Learning Bounds for Domain Adaptation |
123
Voted
AGENTS
1998
Springer
15 years 4 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
87
Voted
IJCAI
2007
15 years 1 months ago
2007
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
122
Voted
IJCAI
1993
15 years 1 months ago
1993
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
94
Voted
FLAIRS
2006
15 years 1 months ago
2006
We have been using the concept map of the domain, enhanced with pedagogical concepts called learning objectives, as the overlay student model in our intelligent tutors for program...
111
Voted
AAAI
2008
15 years 2 months ago
2008
This paper summarizes recent advances in the application of multiagent coordination algorithms to air traffic flow management. Indeed, air traffic flow management is one of the fu...