1224 search results - page 159 / 245 » On the Optimality of the Dimensionality Reduction Method |
181
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WSC
2007
15 years 8 months ago
2007
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
126
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ERSHOV
2003
Springer
15 years 11 months ago
2003
Springer
Despite practical successes with the Futamura projections, it has been an open question whether target programs produced by specializing interpreters can always be as efficient as ...
195
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JMLR
2012
13 years 8 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
156
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
139
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SLSFS
2005
Springer
15 years 11 months ago
2005
Springer
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...