3607 search results - page 193 / 722 » Learning with structured sparsity |
123
Voted
ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
126
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
130
Voted
CVPR
2008
IEEE
15 years 5 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
133
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ML
2010
ACM
15 years 2 months ago
2010
ACM
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as wel...
143
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...