1224 search results - page 50 / 245 » On the Optimality of the Dimensionality Reduction Method |
159
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IJCNN
2000
IEEE
15 years 10 months ago
2000
IEEE
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
190
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JMLR
2010
15 years 28 days ago
2010
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
153
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IV
2007
IEEE
16 years 12 days ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
132
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ICPR
2008
IEEE
16 years 17 days ago
2008
IEEE
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
200
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AMC
2011
14 years 9 months ago
2011
：In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...