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JMLR
2012
13 years 8 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
HPCA
2004
IEEE
16 years 6 months ago
Reducing Branch Misprediction Penalty via Selective Branch Recovery
Branch misprediction penalty consists of two components: the time wasted on mis-speculative execution until the mispredicted branch is resolved and the time to restart the pipelin...
Amit Gandhi, Haitham Akkary, Srikanth T. Srinivasa...
EPIA
2007
Springer
16 years 18 days ago
Improving Evolutionary Algorithms with Scouting
The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
AE
2005
Springer
15 years 12 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
ICASSP
2007
IEEE
15 years 8 months ago
Variable Regularized Fast Affine Projections
This paper introduces a variable regularization method for the fast affine projection algorithm (VR-FAP). It is inspired by a recently introduced technique for variable regulariza...
Deepak Challa, Steven L. Grant, Asif Iqbal Mohamma...