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146
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IJACTAICIT
2010
213views more  IJACTAICIT 2010»
15 years 26 days ago
Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
125
Voted
CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
14 years 10 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 7 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
142
Voted
ICPR
2006
IEEE
16 years 4 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
121
Voted
ESWA
2006
102views more  ESWA 2006»
15 years 3 months ago
A study of Taiwan's issuer credit rating systems using support vector machines
By providing credit risk information, credit rating systems benefit most participants in financial markets, including issuers, investors, market regulators and intermediaries. In ...
Wun-Hwa Chen, Jen-Ying Shih