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» Large Scale Multiple Kernel Learning
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122
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WEBI
2010
Springer
14 years 10 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
94
Voted
LREC
2010
151views Education» more  LREC 2010»
15 years 1 months ago
Modeling Wikipedia Articles to Enhance Encyclopedic Search
Reflecting the rapid growth of science, technology, and culture, it has become common practice to consult tools on the World Wide Web for various terms. Existing search engines pr...
Atsushi Fujii
OSDI
2008
ACM
16 years 20 days ago
Experiences with Content Addressable Storage and Virtual Disks
Efficiently managing storage is important for virtualized computing environments. Its importance is magnified by developments such as cloud computing which consolidate many thousa...
Anthony Liguori, Eric Van Hensbergen
124
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ICPP
1993
IEEE
15 years 4 months ago
Scalability Study of the KSR-1
Scalability of parallel architectures is an interesting area of current research. Shared memory parallel programming is attractive stemming from its relative ease in transitioning...
Umakishore Ramachandran, Gautam Shah, Ravi Kumar, ...
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
15 years 5 months ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King