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» A kernel path algorithm for support vector machines
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DAGM
2007
Springer
14 years 29 days ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
AIME
2009
Springer
14 years 27 days ago
Effect of Background Correction on Cancer Classification with Gene Expression Data
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Adelaide Freitas, Gladys Castillo, Ana São ...
ICPR
2006
IEEE
14 years 10 months ago
A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification
Real-word applications often involve a binary hypothesis testing problem with one of the two hypotheses ill-defined and hard to be characterized precisely by a single measure. In ...
Yi-Hsiang Chao, Wei-Ho Tsai, Hsin-Min Wang, Ruei-C...
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
14 years 3 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
COLT
2004
Springer
14 years 2 months ago
Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
Peter L. Bartlett, Ambuj Tewari