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» Extraction of fuzzy rules from support vector machines
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TITB
2008
178views more  TITB 2008»
14 years 11 months ago
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated da...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
GI
2007
Springer
15 years 5 months ago
Translation and Rotation Invariant Histogram Features for Series of Images
Abstract: Some surfaces, like metallic and varnished ones, can only be properly controlled, if they are inspected under different illumination directions. This requires a three-dim...
Ana Pérez Grassi, Fernando Puente Leó...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 3 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
MLDM
2007
Springer
15 years 5 months ago
Nonlinear Feature Selection by Relevance Feature Vector Machine
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yo...
IVC
2006
187views more  IVC 2006»
14 years 11 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...