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CIBCB
2009
IEEE
14 years 11 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
NIPS
2008
14 years 11 months ago
Human Active Learning
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
ISMIS
1999
Springer
15 years 2 months ago
Machine Learning Method for Software Quality Model Building
Software quality prediction can be cast as a concept learning problem. In this paper, we discuss the full cycle of an application of Machine Learning to software quality predictio...
Mauricio Amaral de Almeida, Stan Matwin
AAAI
2008
15 years 6 days ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
BMCBI
2006
172views more  BMCBI 2006»
14 years 10 months ago
Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information
Background: The majority of peptide bonds in proteins are found to occur in the trans conformation. However, for proline residues, a considerable fraction of Prolyl peptide bonds ...
Jiangning Song, Kevin Burrage, Zheng Yuan, Thomas ...