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GLVLSI
2011
IEEE
351views VLSI» more  GLVLSI 2011»
14 years 10 months ago
Design of low-power multiple constant multiplications using low-complexity minimum depth operations
Existing optimization algorithms for the multiplierless realization of multiple constant multiplications (MCM) typically target the minimization of the number of addition and subt...
Levent Aksoy, Eduardo Costa, Paulo F. Flores, Jos&...
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
15 years 1 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
AAIM
2009
Springer
132views Algorithms» more  AAIM 2009»
16 years 1 months ago
Two-Level Push-Relabel Algorithm for the Maximum Flow Problem
Abstract. We describe a two-level push-relabel algorithm for the maximum flow problem and compare it to the competing codes. The algorithm generalizes a practical algorithm for bi...
Andrew V. Goldberg
PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
15 years 11 months ago
Recovery Rate of Clustering Algorithms
This article provides a simple and general way for defining the recovery rate of clustering algorithms using a given family of old clusters for evaluating the performance of the a...
Fajie Li, Reinhard Klette
GECCO
2010
Springer
253views Optimization» more  GECCO 2010»
15 years 9 months ago
Comparison of G3PCX and Rosenbrock's algorithms on the BBOB noiseless testbed
Generalized generation gap algorithm with parent centric crossover is compared with Rosenbrock’s optimization algorithm. Both algorithms were already presented at the BBOB 2009 ...
Petr Posík