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» Active learning and its use in computer science
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ICSE
2005
IEEE-ACM
16 years 6 months ago
A B.S. degree in informatics: contextualizing software engineering education
Software engineering (SE) is very different in focus from traditional computer science: it is not just about computers and software, but as much about the context in which they ar...
André van der Hoek, David G. Kay, Debra J. ...
CIBCB
2009
IEEE
15 years 7 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...
ICCV
2007
IEEE
16 years 8 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
IJON
2002
98views more  IJON 2002»
15 years 6 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
KCAP
2009
ACM
16 years 26 days ago
Reducing class imbalance during active learning for named entity annotation
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
Katrin Tomanek, Udo Hahn