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BMCBI
2008
88views more  BMCBI 2008»
15 years 5 months ago
Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
Myron Peto, Andrzej Kloczkowski, Vasant Honavar, R...
ADCM
2006
74views more  ADCM 2006»
15 years 5 months ago
Construction of orthonormal multi-wavelets with additional vanishing moments
An iterative scheme for constructing compactly supported orthonormal (o.n.) multi-wavelets with vanishing moments of arbitrarily high order is established. Precisely, let = [1,
Charles K. Chui, Jian-ao Lian
ANOR
2006
74views more  ANOR 2006»
15 years 5 months ago
Electroencephalogram (EEG) time series classification: Applications in epilepsy
Epilepsy is among the most common brain disorders. Approximately 25
Wanpracha Art Chaovalitwongse, Oleg A. Prokopyev, ...
BMCBI
2006
106views more  BMCBI 2006»
15 years 5 months ago
Improving the performance of DomainDiscovery of protein domain boundary assignment using inter-domain linker index
Background: Knowledge of protein domain boundaries is critical for the characterisation and understanding of protein function. The ability to identify domains without the knowledg...
Abdur R. Sikder, Albert Y. Zomaya
JUCS
2007
124views more  JUCS 2007»
15 years 5 months ago
An Improved SVM Based on Similarity Metric
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
Chaoyong Wang, Yanfeng Sun, Yanchun Liang