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» Improving EAs for Sequencing Problems
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CVPR
2010
IEEE
13 years 7 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
SIAMCOMP
2012
11 years 11 months ago
Randomized Competitive Algorithms for Generalized Caching
We consider online algorithms for the generalized caching problem. Here we are given a cache of size k and pages with arbitrary sizes and fetching costs. Given a request sequence ...
Nikhil Bansal, Niv Buchbinder, Joseph Naor
ALGORITHMICA
2006
94views more  ALGORITHMICA 2006»
13 years 9 months ago
Efficient Algorithms for k Maximum Sums
We study the problem of computing the k maximum sum subsequences. Given a sequence of real numbers x1, x2, . . . , xn and an integer parameter k, 1 k 1 2 n(n - 1), the problem in...
Fredrik Bengtsson, Jingsen Chen
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 27 days ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
ICC
2008
IEEE
105views Communications» more  ICC 2008»
14 years 3 months ago
Scheduling and Pre-Conditioning in Multi-User MIMO TDD Systems
Abstract—The downlink transmission in multi-user multipleinput multiple-output (MIMO) systems has been extensively studied from both communication-theoretic and information-theor...
Jubin Jose, Alexei Ashikhmint, Phil Whiting, Srira...