3628 search results - page 405 / 726 » The Decision Diffie-Hellman Problem |
203
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
176
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
180
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In this paper we consider sampling based fitted value iteration for discounted, large (possibly infinite) state space, finite action Markovian Decision Problems where only a gener...
173
click to vote
ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
142
click to vote
ISBI
2008
IEEE
16 years 7 months ago
2008
IEEE
In functional Magnetic Resonance Imaging group studies, uncertainties on the individual BOLD responses are not taken into account by standard detection procedures, which may limit...