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» A Hierarchical Classifier Using New Support Vector Machine
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BMCBI
2007
173views more  BMCBI 2007»
13 years 7 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
LISA
2008
13 years 10 months ago
Devolved Management of Distributed Infrastructures with Quattor
In recent times a new kind of computing system has emerged: a distributed infrastructure composed of multiple physical sites in different administrative domains. This model introd...
Stephen Childs, Marco Emilio Poleggi, Charles Loom...
ICASSP
2011
IEEE
12 years 11 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
AMFG
2003
IEEE
152views Biometrics» more  AMFG 2003»
14 years 27 days ago
Fully Automatic Upper Facial Action Recognition
This paper provides a new fully automatic framework to analyze facial action units, the fundamental building blocks of facial expression enumerated in Paul Ekman’s Facial Action...
Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard
NAACL
2004
13 years 9 months ago
Evaluating Multiple Aspects of Coherence in Student Essays
CriterionSM Online Essay Evaluation Service includes a capability that labels sentences in student writing with essay-based discourse elements (e.g., thesis statements). We descri...
Derrick Higgins, Jill Burstein, Daniel Marcu, Clau...