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» A mean field approach for optimization in discrete time
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NIPS
1993
14 years 11 months ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr
COR
2008
122views more  COR 2008»
14 years 9 months ago
First steps to the runtime complexity analysis of ant colony optimization
: The paper presents results on the runtime complexity of two ant colony optimization (ACO) algorithms: Ant System, the oldest ACO variant, and GBAS, the first ACO variant for whic...
Walter J. Gutjahr
BMCBI
2008
114views more  BMCBI 2008»
14 years 10 months ago
Testing the Coulomb/Accessible Surface Area solvent model for protein stability, ligand binding, and protein design
Background: Protein structure prediction and computational protein design require efficient yet sufficiently accurate descriptions of aqueous solvent. We continue to evaluate the ...
Marcel Schmidt am Busch, Anne Lopes, Najette Amara...
EUC
2005
Springer
15 years 3 months ago
Optimizing Nested Loops with Iterational and Instructional Retiming
Abstract. Embedded systems have strict timing and code size requirements. Retiming is one of the most important optimization techniques to improve the execution time of loops by in...
Chun Xue, Zili Shao, Meilin Liu, Mei Kang Qiu, Edw...
JGS
2010
106views more  JGS 2010»
14 years 4 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto