3050 search results - page 159 / 610 » On-line Algorithms in Machine Learning |
115
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COLT
2008
Springer
15 years 5 months ago
2008
Springer
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix exponentiated gradient updates and is motivated by the von Neumann divergence. T...
131
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ML
2002
ACM
15 years 3 months ago
2002
ACM
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
126
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MICCAI
2002
Springer
16 years 4 months ago
2002
Springer
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
123
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
146
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...