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COMPSAC
2004
IEEE
15 years 10 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
ATAL
2008
Springer
15 years 8 months ago
MB-AIM-FSI: a model based framework for exploiting gradient ascent multiagent learners in strategic interactions
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Doran Chakraborty, Sandip Sen
ML
2008
ACM
101views Machine Learning» more  ML 2008»
15 years 6 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
EMSOFT
2004
Springer
16 years 3 days ago
Practical PACE for embedded systems
In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and...
Ruibin Xu, Chenhai Xi, Rami G. Melhem, Daniel Moss...
189
Voted
SIGMOD
2010
ACM
173views Database» more  SIGMOD 2010»
15 years 11 months ago
PR-join: a non-blocking join achieving higher early result rate with statistical guarantees
Online aggregation is a promising solution to achieving fast early responses for interactive ad-hoc queries that compute aggregates on a large amount of data. Essential to the suc...
Shimin Chen, Phillip B. Gibbons, Suman Nath