2934 search results - page 221 / 587 » Hypothesis Spaces for Learning |
184
click to vote
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
328
click to vote
ICCCI
2011
Springer
14 years 6 months ago
2011
Springer
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
194
click to vote
ICML
1996
IEEE
16 years 7 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
154
click to vote
CSR
2007
Springer
16 years 22 days ago
2007
Springer
To solve a problem on a given CNF formula F a splitting algorithm recursively calls for F[v] and F[¬v] for a variable v. Obviously, after the first call an algorithm obtains some...
164
click to vote
ICRA
2006
IEEE
16 years 17 days ago
2006
IEEE
This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...