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» Semi-Supervised Support Vector Machines
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ADMA
2006
Springer
153views Data Mining» more  ADMA 2006»
15 years 5 months ago
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining
This paper presents a study on the combination of different classifiers for toxicity prediction. Two combination operators for the Multiple-Classifier System definition are also pr...
Daniel Neagu, Gongde Guo, Shanshan Wang
131
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ACL
2008
15 years 5 months ago
Semantic Role Labeling Systems for Arabic using Kernel Methods
There is a widely held belief in the natural language and computational linguistics communities that Semantic Role Labeling (SRL) is a significant step toward improving important ...
Mona T. Diab, Alessandro Moschitti, Daniele Pighin
DMIN
2008
145views Data Mining» more  DMIN 2008»
15 years 5 months ago
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
Olvi L. Mangasarian, Edward W. Wild
ESANN
2007
15 years 5 months ago
Optimizing kernel parameters by second-order methods
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...
Shigeo Abe
115
Voted
ESANN
2007
15 years 5 months ago
Pattern Recognition using Chaotic Transients
This paper proposes a novel nonlinear transient computation device described as the LTCM that uses the chaotic attractor provided by the Lorenz system of equations to perform patte...
Wee Jin Goh, Nigel Crook