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» Arguing from Experience to Classifying Noisy Data
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PROMISE
2010
13 years 3 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
ECAI
2000
Springer
14 years 1 months ago
Data Set Editing by Ordered Projection
In this paper, an editing algorithm based on the projection of the examples in each dimension is presented. The algorithm, that we have called EOP (Editing by Ordered Projection) h...
Jesús S. Aguilar-Ruiz, José Crist&oa...
CVPR
2008
IEEE
14 years 11 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
14 years 2 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
EACL
2006
ACL Anthology
13 years 10 months ago
Towards Robust Animacy Classification Using Morphosyntactic Distributional Features
This paper presents results from experiments in automatic classification of animacy for Norwegian nouns using decision-tree classifiers. The method makes use of relative frequency...
Lilja Øvrelid