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NIPS
2008
13 years 10 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
TVLSI
2008
152views more  TVLSI 2008»
13 years 8 months ago
MMV: A Metamodeling Based Microprocessor Validation Environment
With increasing levels of integration of multiple processing cores and new features to support software functionality, recent generations of microprocessors face difficult validati...
Deepak Mathaikutty, Sreekumar V. Kodakara, Ajit Di...
HICSS
2003
IEEE
179views Biometrics» more  HICSS 2003»
14 years 2 months ago
JUMBL: A Tool for Model-Based Statistical Testing
Statistical testing of software based on a usage model is a cost-effective and efficient means to make inferences about software quality. In order to apply this method, a usage m...
Stacy J. Prowell
SAC
2004
ACM
14 years 2 months ago
Guiding motif discovery by iterative pattern refinement
In this paper, we demonstrate that the performance of a motif discovery algorithm can be significantly improved by embedding it into a novel framework that effectively guides the ...
Zhiping Wang, Mehmet M. Dalkilic, Sun Kim
ICST
2009
IEEE
14 years 3 months ago
Optimizing Probabilities of Real-Time Test Case Execution
—Model-based test derivation for real-time system has been proven to be a hard problem for exhaustive test suites. Therefore, techniques for real-time testing do not aim to exhau...
Nicolás Wolovick, Pedro R. D'Argenio, Hongy...