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CIBCB
2009
IEEE
13 years 10 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...
CVPR
2011
IEEE
13 years 5 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
ALT
2008
Springer
14 years 5 months ago
Active Learning in Multi-armed Bandits
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
András Antos, Varun Grover, Csaba Szepesv&a...
ECML
2005
Springer
14 years 2 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
SEKE
2005
Springer
14 years 2 months ago
Ontologies of Software Artifacts and Activities: Resource Annotation and Application to Learning Technologies
The emerging consensus on the boundaries and main elements of the Software Engineering (SE) discipline represents an opportunity for the engineering of shared conceptualizations t...
Miguel-Ángel Sicilia, Juan J. Cuadrado, Dan...