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» Boosting Using Branching Programs
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EVOW
2003
Springer
14 years 18 days ago
Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
William B. Langdon, S. J. Barrett, Bernard F. Buxt...
CPAIOR
2010
Springer
13 years 6 months ago
Boosting Set Constraint Propagation for Network Design
Abstract. This paper reconsiders the deployment of synchronous optical networks (SONET), an optimization problem naturally expressed in terms of set variables. Earlier approaches, ...
Justin Yip, Pascal Van Hentenryck, Carmen Gervet
CCS
2007
ACM
14 years 1 months ago
Privacy-preserving remote diagnostics
We present an efficient protocol for privacy-preserving evaluation of diagnostic programs, represented as binary decision trees or branching programs. The protocol applies a bran...
Justin Brickell, Donald E. Porter, Vitaly Shmatiko...
FGR
2004
IEEE
231views Biometrics» more  FGR 2004»
13 years 11 months ago
A Boosted Classifier Tree for Hand Shape Detection
The ability to detect a persons unconstrained hand in a natural video sequence has applications in sign language, gesture recognition and HCI. This paper presents a novel, unsuper...
Eng-Jon Ong, Richard Bowden
CNHPCA
2009
Springer
13 years 10 months ago
Parallel Branch Prediction on GPU Platform
Abstract. Branch Prediction is a common function in nowadays microprocessor. Branch predictor is duplicated into multiple copies in each core of a multicore and many-core processor...
Liqiang He, Guangyong Zhang