1106 search results - page 125 / 222 » On regularization algorithms in learning theory |
177
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AIIA
2005
Springer
16 years 9 days ago
2005
Springer
Building profiles for processes and for interactive users is a important task in intrusion detection. This paper presents the results obtained with a Hierarchical Hidden Markov Mo...
168
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
171
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ICC
2007
IEEE
16 years 1 months ago
2007
IEEE
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
179
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
207
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ECML
2005
Springer
16 years 9 days ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...