2177 search results - page 179 / 436 » Relative Margin Machines |
123
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We show that it is possible to use data compression on independently obtained hypotheses from various tasks to algorithmically provide guarantees that the tasks are sufficiently r...
125
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
129
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
145
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
126
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...