5092 search results - page 694 / 1019 » Clustering the Feature Space |
251
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ICDE
2007
IEEE
16 years 8 months ago
2007
IEEE
Traditional DBMSs decouple statistics collection and query optimization both in space and time. Decoupling in time may lead to outdated statistics. Decoupling in space may cause s...
218
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
186
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
173
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
169
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WWW
2009
ACM
16 years 7 months ago
2009
ACM
The performance of server-side applications is becoming increasingly important as more applications exploit the Web application model. Extensive work has been done to improve the ...