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MFCS
2005
Springer
15 years 7 months ago
Greedy Approximation via Duality for Packing, Combinatorial Auctions and Routing
We study simple greedy approximation algorithms for general class of integer packing problems. We provide a novel analysis based on the duality theory of linear programming. This e...
Piotr Krysta
FOCS
2008
IEEE
15 years 8 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim
SWAT
2004
Springer
98views Algorithms» more  SWAT 2004»
15 years 7 months ago
Tight Approximability Results for Test Set Problems in Bioinformatics
In this paper, we investigate the test set problem and its variations that appear in a variety of applications. In general, we are given a universe of objects to be “distinguish...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao
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FSTTCS
2010
Springer
14 years 12 months ago
Combinatorial Problems with Discounted Price Functions in Multi-agent Systems
ABSTRACT. Motivated by economic thought, a recent research agenda has suggested the algorithmic study of combinatorial optimization problems under functions which satisfy the prope...
Gagan Goel, Pushkar Tripathi, Lei Wang
AAAI
2006
15 years 3 months ago
Optimal Scheduling of Contract Algorithms for Anytime Problems
A contract algorithm is an algorithm which is given, as part of the input, a specified amount of allowable computation time. The algorithm must then compute a solution within the ...
Alejandro López-Ortiz, Spyros Angelopoulos,...