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UAI
2000
15 years 3 days ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
BMCBI
2007
106views more  BMCBI 2007»
14 years 11 months ago
Mining prokaryotic genomes for unknown amino acids: a stop-codon-based approach
Background: Selenocysteine and pyrrolysine are the 21st and 22nd amino acids, which are genetically encoded by stop codons. Since a number of microbial genomes have been completel...
Masashi Fujita, Hisaaki Mihara, Susumu Goto, Nobuy...
BMCBI
2007
144views more  BMCBI 2007»
14 years 11 months ago
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
Y.-h. Taguchi, M. Michael Gromiha
BMCBI
2008
94views more  BMCBI 2008»
14 years 11 months ago
Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM profiles
Background: Malaria parasite secretes various proteins in infected RBC for its growth and survival. Thus identification of these secretory proteins is important for developing vac...
Ruchi Verma, Ajit Tiwari, Sukhwinder Kaur, Grish C...
CORR
2010
Springer
209views Education» more  CORR 2010»
14 years 10 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam