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ICML
2003
IEEE
16 years 7 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
ICML
1996
IEEE
16 years 7 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
ICML
1996
IEEE
16 years 7 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez
ICSE
2008
IEEE-ACM
16 years 7 months ago
Granularity in software product lines
Building software product lines (SPLs) with features is a challenging task. Many SPL implementations support features with coarse granularity ? e.g., the ability to add and wrap e...
Christian Kästner, Martin Kuhlemann, Sven Ape...
ICSE
2008
IEEE-ACM
16 years 7 months ago
Design patterns: between programming and software design
In computer science curricula the two areas programming and software engineering are usually separated. In programming students learn an object oriented language and then deepen t...
Christoph Denzler, Dominik Gruntz