1393 search results - page 166 / 279 » Machine Learning by Function Decomposition |
105
click to vote
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...
104
click to vote
ECML
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
106
click to vote
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We consider the problem of computing the Euclidean projection of a vector of length n onto a closed convex set including the 1 ball and the specialized polyhedra employed in (Shal...
103
click to vote
PKDD
2010
Springer
14 years 11 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
127
click to vote
COR
2008
15 years 1 months ago
2008
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...