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JSS
2008
317views more  JSS 2008»
13 years 8 months ago
Predicting defect-prone software modules using support vector machines
Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
Karim O. Elish, Mahmoud O. Elish
ACMSE
2008
ACM
13 years 10 months ago
Studio-based learning in CS2: an experience report
Recently there has been a surge of interest in making computer science education attractive to potential students, motivating to current students, and relevant to graduating stude...
Lakshman Myneni, Margaret Ross, T. Dean Hendrix, N...
CONCUR
2010
Springer
13 years 9 months ago
Learning I/O Automata
Links are established between three widely used modeling frameworks for reactive systems: the ioco theory of Tretmans, the interface automata of De Alfaro and Henzinger, and Mealy ...
Fides Aarts, Frits W. Vaandrager
SIGIR
2011
ACM
12 years 10 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
ICIP
2010
IEEE
13 years 6 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang