539 search results - page 66 / 108 » Learning Monotonic Linear Functions |
147
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ICALP
2011
Springer
14 years 3 months ago
2011
Springer
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
134
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CGF
2011
14 years 3 months ago
2011
We present a novel method to estimate an approximation of the reflectance characteristics of optically thick, homogeneous translucent materials using only a single photograph as ...
MMM
2009
Springer
15 years 6 months ago
2009
Springer
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
AIIDE
2006
15 years 1 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
146
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AI
1998
Springer
14 years 11 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...