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» Support vector machine for functional data classification
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CIKM
2005
Springer
15 years 10 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
BMCBI
2007
96views more  BMCBI 2007»
15 years 5 months ago
Protein subcellular localization prediction based on compartment-specific features and structure conservation
Motivation: Protein subcellular localization is crucial for genome annotation, protein function prediction, and drug discovery. However, since determining subcellular localization...
Emily Chia-Yu Su, Hua-Sheng Chiu, Allan Lo, Jenn-K...
ICML
2008
IEEE
16 years 5 months ago
Training SVM with indefinite kernels
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
Jianhui Chen, Jieping Ye
136
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SIGIR
2008
ACM
15 years 5 months ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack
ISCA
2002
IEEE
105views Hardware» more  ISCA 2002»
15 years 10 months ago
Tarantula: A Vector Extension to the Alpha Architecture
Tarantula is an aggressive floating point machine targeted at technical, scientific and bioinformatics workloads, originally planned as a follow-on candidate to the EV8 processo...
Roger Espasa, Federico Ardanaz, Julio Gago, Roger ...