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275
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
185
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
166
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WWW
2003
ACM
16 years 7 months ago
2003
ACM
Several recent studies have pointed out that file I/Os can be a major performance bottleneck for some large Web servers. Large I/O buffer caches often do not work effectively for ...
171
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
172
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VLSID
2002
IEEE
16 years 7 months ago
2002
IEEE
With the increased use of embedded/portable devices such as smart cellular phones, pagers, PDAs, hand-held computers, and CD players, improving energy efficiency is becoming a cri...