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165
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
188
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ML
2010
ACM
15 years 4 months ago
2010
ACM
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
189
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
184
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
167
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...