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» Lower Bounds in Distributed Computing
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FOCS
2008
IEEE
15 years 7 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
ATMOS
2008
118views Optimization» more  ATMOS 2008»
15 years 2 months ago
Recoverable Robustness for Railway Rolling Stock Planning
Abstract. In this paper we explore the possibility of applying the notions of Recoverable Robustness and Price of Recoverability (introduced by [5]) to railway rolling stock planni...
Valentina Cacchiani, Alberto Caprara, Laura Galli,...
DCC
2010
IEEE
15 years 1 months ago
On multiple caps in finite projective spaces
In this paper, we consider new results on (k, n)-caps with n > 2. We provide a lower bound on the size of such caps. Furthermore, we generalize two product constructions for (k,...
Yves Edel, Ivan N. Landjev
COMBINATORICS
2006
162views more  COMBINATORICS 2006»
15 years 1 months ago
Bounding the Partition Function of Spin-Systems
With a graph G = (V, E) we associate a collection of non-negative real weights vV {i,v : 1 i m} uvE{ij,uv : 1 i j m}. We consider the probability distribution on {f : V {1,...
David J. Galvin
90
Voted
SIAMJO
2008
72views more  SIAMJO 2008»
15 years 27 days ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed