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DAC
1999
ACM
15 years 8 months ago
Stand-by Power Minimization Through Simultaneous Threshold Voltage Selection and Circuit Sizing
We present a new approach for estimation and optimization of the average stand-by power dissipation in large MOS digital circuits. To overcome the complexity of state dependence i...
Supamas Sirichotiyakul, Tim Edwards, Chanhee Oh, J...
CEC
2007
IEEE
15 years 8 months ago
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
Enrique Alba, José García-Nieto, Lae...
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 4 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
CSDA
2006
142views more  CSDA 2006»
15 years 4 months ago
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Xibin Zhang, Maxwell L. King, Rob J. Hyndman
TMI
2008
85views more  TMI 2008»
15 years 4 months ago
Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
Adam C. Zelinski, Lawrence L. Wald, K. Setsompop, ...