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» Improving probability bounds by optimization over subsets
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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
13 years 11 months ago
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm
Given the prominence of elite archiving in contemporary multiobjective optimisation research and the limitations inherent in bounded population sizes, it is unusual that the vast ...
Adam Berry, Peter Vamplew
SODA
2010
ACM
190views Algorithms» more  SODA 2010»
14 years 5 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...
CORR
2010
Springer
157views Education» more  CORR 2010»
13 years 6 months ago
Stochastic Budget Optimization in Internet Advertising
Internet advertising is a sophisticated game in which the many advertisers "play" to optimize their return on investment. There are many "targets" for the adve...
Bhaskar DasGupta, S. Muthukrishnan
ASIAN
1999
Springer
186views Algorithms» more  ASIAN 1999»
13 years 12 months ago
Ant Colony Optimization for the Ship Berthing Problem
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
Chia Jim Tong, Hoong Chuin Lau, Andrew Lim
CIVR
2008
Springer
245views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Probabilistic optimized ranking for multimedia semantic concept detection via RVM
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
Yantao Zheng, Shi-Yong Neo, Tat-Seng Chua, Qi Tian