1313 search results - page 167 / 263 » Dimensionality Reduction for Classification |
114
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ISDA
2009
IEEE
15 years 9 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
119
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ACCV
2009
Springer
15 years 9 months ago
2009
Springer
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
120
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CVPR
2007
IEEE
15 years 9 months ago
2007
IEEE
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
113
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IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
123
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AIED
2007
Springer
15 years 9 months ago
2007
Springer
An implicit assumption in psychometrics and educational statistics is that the generative model for student scores on test questions is governed by the topics of those questions an...