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BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
BMCBI
2010
126views more  BMCBI 2010»
14 years 9 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
CASES
2007
ACM
15 years 1 months ago
Performance optimal processor throttling under thermal constraints
We derive analytically, the performance optimal throttling curve for a processor under thermal constraints for a given task sequence. We found that keeping the chip temperature co...
Ravishankar Rao, Sarma B. K. Vrudhula
ITC
1995
IEEE
104views Hardware» more  ITC 1995»
15 years 1 months ago
Synthesis of Mapping Logic for Generating Transformed Pseudo-Random Patterns for BIST
During built-in self-test (BIST), the set of patterns generated by a pseudo-random pattern generator may not provide a sufficiently high fault coverage. This paper presents a new ...
Nur A. Touba, Edward J. McCluskey
73
Voted
CSDA
2007
120views more  CSDA 2007»
14 years 9 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder