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JMLR
2008
114views more  JMLR 2008»
13 years 7 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
PPL
2008
101views more  PPL 2008»
13 years 7 months ago
Skeletal Parallel Programming with OCamlP3l 2.0
Parallel programming has proven to be an effective technique to improve the performance of computationally intensive applications. However, writing parallel programs is not easy, ...
Roberto Di Cosmo, Zheng Li, Susanna Pelagatti, Pie...
AAAI
2010
13 years 4 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
ICDE
2007
IEEE
1577views Database» more  ICDE 2007»
15 years 7 months ago
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to...
Ninghui Li, Tiancheng Li, Suresh Venkatasubramania...
ICSE
2009
IEEE-ACM
14 years 8 months ago
TranStrL: An automatic need-to-translate string locator for software internationalization
Software internationalization is often necessary when distributing software applications to different regions around the world. In many cases, developers often do not internationa...
Xiaoyin Wang, Lu Zhang, Tao Xie, Hong Mei, Jiasu S...