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ICML
2005
IEEE
16 years 7 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
ICML
2005
IEEE
16 years 7 months ago
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Franz Pernkopf, Jeff A. Bilmes
ICML
2004
IEEE
16 years 7 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
ICSE
2009
IEEE-ACM
16 years 7 months ago
Accurate Interprocedural Null-Dereference Analysis for Java
Null dereference is a commonly occurring defect in Java programs, and many static-analysis tools identify such defects. However, most of the existing tools perform a limited inter...
Mangala Gowri Nanda, Saurabh Sinha
SIGSOFT
2008
ACM
16 years 7 months ago
Using assertions to help end-user programmers create dependable web macros
Web macros give web browser users ways to "program" tedious tasks, allowing those tasks to be repeated more quickly and reliably than when performed by hand. Web macros ...
Andhy Koesnandar, Sebastian G. Elbaum, Gregg Rothe...