3006 search results - page 207 / 602 » Dimensionality reduction and generalization |
140
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AI
2004
Springer
15 years 3 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
159
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
131
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ICCV
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper investigates the appearance manifold of facial expression: embedding image sequences of facial expression from the high dimensional appearance feature space to a low dim...
149
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DOLAP
2005
ACM
15 years 6 months ago
2005
ACM
We propose a new functional framework for modeling, querying and reasoning about OLAP databases. The framework represents data (data cubes and dimensional hierarchies) and queryin...
125
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PPSN
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...