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ICASSP
2011
IEEE
14 years 10 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...
CLEF
2011
Springer
14 years 6 months ago
Adapting Statistical Language Identification Methods for Short Queries
This paper describes the participation of UAIC team at the LogCLEF 2011 initiative, language identification task. Our approach is an aggregation of known methods for recognizing la...
Alexandru-Lucian Gînsca, Emanuela Boros, Adr...
MLMI
2004
Springer
16 years 5 days ago
Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Norman Poh, Samy Bengio
DCC
2009
IEEE
16 years 7 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang

Book
814views
17 years 4 months ago
Numerical Computing with MATLAB
"Numerical Computing with MATLAB is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on informed use of mathematic...
Cleve Moler