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» Predicting relative performance of classifiers from samples
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ICCD
1996
IEEE
145views Hardware» more  ICCD 1996»
13 years 11 months ago
Can Trace-Driven Simulators Accurately Predict Superscalar Performance?
There are four crucial issues associated with performance simulators: simulator retargetability, simulator validation, simulation speed and simulation accuracy. This paper documen...
Bryan Black, Andrew S. Huang, Mikko H. Lipasti, Jo...
BMCBI
2008
140views more  BMCBI 2008»
13 years 7 months ago
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences
Background: Protein structure prediction methods provide accurate results when a homologous protein is predicted, while poorer predictions are obtained in the absence of homologou...
Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen 0003
ASPLOS
2008
ACM
13 years 9 months ago
Efficiency trends and limits from comprehensive microarchitectural adaptivity
Increasing demand for power-efficient, high-performance computing requires tuning applications and/or the underlying hardware to improve the mapping between workload heterogeneity...
Benjamin C. Lee, David Brooks
FGR
2008
IEEE
238views Biometrics» more  FGR 2008»
14 years 2 months ago
Focus on quality, predicting FRVT 2006 performance
This paper summarizes a study carried out on data from the Face Recognition Vendor Test 2006 (FRVT 2006). The finding of greatest practical importance is the discovery of a stron...
J. Ross Beveridge, Geof H. Givens, P. Jonathon Phi...
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
14 years 8 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith