1891 search results - page 139 / 379 » Constrained Subspace Modelling |
129
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PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
120
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AIME
2007
Springer
15 years 9 months ago
2007
Springer
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
127
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
142
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AAAI
1993
15 years 4 months ago
1993
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
145
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JMLR
2010
14 years 9 months ago
2010
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...