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CDC
2010
IEEE
129views Control Systems» more  CDC 2010»
15 years 1 months ago
A methodology for optimal semi-active suspension systems performance evaluation
This paper concerns the study of the optimal performance computation of a semi-active suspension evaluated in terms of comfort and handling performances. To this aim the semi-activ...
Charles Poussot-Vassal, Sergio M. Savaresi, Cristi...
ICASSP
2011
IEEE
14 years 10 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel
GECCO
2011
Springer
232views Optimization» more  GECCO 2011»
14 years 10 months ago
Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis
When the epistasis of the fitness function is bounded by a constant, we show that the expected fitness of an offspring of the (1+1)-EA can be efficiently computed for any point...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe
ECBS
2010
IEEE
230views Hardware» more  ECBS 2010»
15 years 10 months ago
A Model-Based Regression Testing Approach for Evolving Software Systems with Flexible Tool Support
Model-based selective regression testing promises reduction in cost and labour by selecting a subset of the test suite corresponding to the modifications after system evolution. H...
Qurat-ul-ann Farooq, Muhammad Zohaib Z. Iqbal, Zaf...
200
Voted
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 10 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...