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» An Empirical Study of Regression Test Selection Techniques
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NAACL
1994
13 years 10 months ago
Predicting and Managing Spoken Disfluencies During Human-Computer Interaction
This research characterizes the spontaneous spoken disfluencies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were c...
Sharon L. Oviatt
NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 9 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
AUSAI
2008
Springer
13 years 11 months ago
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
James R. Foulds, Eibe Frank
BMCBI
2006
200views more  BMCBI 2006»
13 years 9 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
ICSE
2009
IEEE-ACM
13 years 7 months ago
Security Test Generation Using Threat Trees
Software security issues have been a major concern to the cyberspace community, so a great deal of research on security testing has been performed, and various security testing te...
Aaron Marback, Hyunsook Do, Ke He, Samuel Kondamar...