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BMCBI
2008
114views more  BMCBI 2008»
14 years 10 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
ICDAR
2009
IEEE
14 years 7 months ago
Image Classification to Improve Printing Quality of Mixed-Type Documents
Functional image classification is the assignment of different image types to separate classes to optimize their rendering for reading or other specific end task, and is an import...
Rafael Dueire Lins, Gabriel Pereira e Silva, Steve...
BMCBI
2006
150views more  BMCBI 2006»
14 years 10 months ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
AMAI
2004
Springer
15 years 3 months ago
Bayesian Model Averaging Across Model Spaces via Compact Encoding
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Ke Yin, Ian Davidson