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» Robust feature induction for support vector machines
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BMCBI
2010
146views more  BMCBI 2010»
13 years 10 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
IJCAI
2007
13 years 11 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
ICML
2003
IEEE
14 years 11 months ago
Multi-Objective Programming in SVMs
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
Jinbo Bi
MLDM
2009
Springer
14 years 4 months ago
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking
This paper describes recognition of emotions of an unkown person during natural walking. As gait data is redundant, high dimensional and variable, effective feature extraction is ...
Michelle Karg, Robert Jenke, Kolja Kühnlenz, ...
JCIT
2008
173views more  JCIT 2008»
13 years 10 months ago
A Multilevel Semantic Document Classifier Based On SVM Integrated With Domain Ontologies
A multilevel semantic document classification system based on Support Vector Machine (SVM) in association with domain ontologies has been developed. The documents related to the s...
Vijayasundaram Uma, Punnaivanam Sankar, Gnanasekar...