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» Gender Classification Using Support Vector Machines
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ICASSP
2011
IEEE
13 years 6 days 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...
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...
NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 8 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 10 days ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
BMCBI
2007
117views more  BMCBI 2007»
13 years 8 months ago
Meta-analysis of several gene lists for distinct types of cancer: A simple way to reveal common prognostic markers
Background: Although prognostic biomarkers specific for particular cancers have been discovered, microarray analysis of gene expression profiles, supported by integrative analysis...
Xinan Yang, Xiao Sun