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» A general framework for multidimensional adaptation
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ANOR
2010
102views more  ANOR 2010»
13 years 8 months ago
Ejection chain and filter-and-fan methods in combinatorial optimization
The design of effective neighborhood structures is fundamentally important for creating better local search and metaheuristic algorithms for combinatorial optimization. Significant...
César Rego, Fred Glover
AAI
2006
126views more  AAI 2006»
13 years 7 months ago
Theory and practice of field-based motion coordination in multiagent systems
Enabling and managing coordination activities between autonomous, possibly mobile, computing entities in dynamic computing scenarios challenges traditional approaches to distribut...
Marco Mamei, Franco Zambonelli
IPL
2006
80views more  IPL 2006»
13 years 7 months ago
BubbleSearch: A simple heuristic for improving priority-based greedy algorithms
We introduce BubbleSearch, a general approach for extending priority-based greedy heuristics. Following the framework recently developed by Borodin et al., we consider priority al...
Neal Lesh, Michael Mitzenmacher
JAIR
2006
102views more  JAIR 2006»
13 years 7 months ago
Multiple-Goal Heuristic Search
This paper presents a new framework for anytime heuristic search where the task is to achieve as many goals as possible within the allocated resources. We show the inadequacy of t...
Dmitry Davidov, Shaul Markovitch
COLT
2010
Springer
13 years 5 months ago
Robust Selective Sampling from Single and Multiple Teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
Ofer Dekel, Claudio Gentile, Karthik Sridharan