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» Function Optimization with Coevolutionary Algorithms
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NIPS
2007
15 years 3 months ago
Convex Learning with Invariances
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex...
ICDE
2010
IEEE
177views Database» more  ICDE 2010»
15 years 8 months ago
Optimal load shedding with aggregates and mining queries
— To cope with bursty arrivals of high-volume data, a DSMS has to shed load while minimizing the degradation of Quality of Service (QoS). In this paper, we show that this problem...
Barzan Mozafari, Carlo Zaniolo
ICDCS
2007
IEEE
15 years 7 months ago
Overlay Node Placement: Analysis, Algorithms and Impact on Applications
Abstract— Overlay routing has emerged as a promising approach to improving performance and reliability of Internet paths. To fully realize the potential of overlay routing under ...
Sabyasachi Roy, Himabindu Pucha, Zheng Zhang, Y. C...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 7 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
GECCO
2009
Springer
169views Optimization» more  GECCO 2009»
15 years 6 months ago
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
Fernando dos Santos, Ana L. C. Bazzan