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CEC
2011
IEEE
12 years 8 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
ISLPED
2006
ACM
145views Hardware» more  ISLPED 2006»
14 years 2 months ago
An optimal analytical solution for processor speed control with thermal constraints
As semiconductor manufacturing technology scales to smaller device sizes, the power consumption of clocked digital ICs begins to increase. Dynamic voltage and frequency scaling (D...
Ravishankar Rao, Sarma B. K. Vrudhula, Chaitali Ch...
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 3 months ago
Approximating geometric crossover in semantic space
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
Krzysztof Krawiec, Pawel Lichocki
ESANN
2001
13 years 10 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 3 months ago
Optimal cross-layer wireless control policies using TD learning
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
Sean P. Meyn, Wei Chen, Daniel O'Neill