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» On the use of spiking neural network for EEG classification
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NN
2000
Springer
161views Neural Networks» more  NN 2000»
13 years 8 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
FLAIRS
2004
13 years 10 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen
ICMCS
2006
IEEE
177views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Mixed Type Audio Classification with Support Vector Machine
Content-based classification of audio data is an important problem for various applications such as overall analysis of audio-visual streams, boundary detection of video story se...
Lei Chen 0002, Sule Gündüz, M. Tamer &Ou...
ICDCIT
2005
Springer
14 years 2 months ago
FlexiRank: An Algorithm Offering Flexibility and Accuracy for Ranking the Web Pages
The existing search engines sometimes give unsatisfactory search result for lack of any categorization. If there is some means to know the preference of user about the search resul...
Debajyoti Mukhopadhyay, Pradipta Biswas
EOR
2007
108views more  EOR 2007»
13 years 8 months ago
Measuring retail company performance using credit scoring techniques
This paper proposes a theoretical framework for predicting financial distress based on Hunt’s (2000) Resource-Advantage Theory of Competition. The study focuses on the US retail...
Yu-Chiang Hu, Jake Ansell