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» Memory Design for Constrained Dynamic Optimization Problems
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TPDS
2010
94views more  TPDS 2010»
15 years 7 days ago
MIMO Power Control for High-Density Servers in an Enclosure
—Power control is becoming a key challenge for effectively operating a modern data center. In addition to reducing operating costs, precisely controlling power consumption is an ...
Xiaorui Wang, Ming Chen, Xing Fu
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
110
Voted
ICCV
2005
IEEE
15 years 7 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
BMCBI
2010
163views more  BMCBI 2010»
15 years 2 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
117
Voted
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 8 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks