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IPCO
1998
152views Optimization» more  IPCO 1998»
15 years 5 months ago
Approximation Bounds for a General Class of Precedence Constrained Parallel Machine Scheduling Problems
Abstract. A well studied and difficult class of scheduling problems concerns parallel machines and precedence constraints. In order to model more realistic situations, we consider ...
Alix Munier, Maurice Queyranne, Andreas S. Schulz
JMLR
2011
106views more  JMLR 2011»
14 years 11 months ago
A Bayesian Approximation Method for Online Ranking
This paper describes a Bayesian approximation method to obtain online ranking algorithms for games with multiple teams and multiple players. Recently for Internet games large onli...
Ruby C. Weng, Chih-Jen Lin
ICDT
2011
ACM
232views Database» more  ICDT 2011»
14 years 8 months ago
(Approximate) uncertain skylines
Given a set of points with uncertain locations, we consider the problem of computing the probability of each point lying on the skyline, that is, the probability that it is not do...
Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasp...
APPROX
2011
Springer
284views Algorithms» more  APPROX 2011»
14 years 4 months ago
On Approximating the Number of Relevant Variables in a Function
In this work we consider the problem of approximating the number of relevant variables in a function given query access to the function. Since obtaining a multiplicative factor ap...
Dana Ron, Gilad Tsur
CVPR
2007
IEEE
16 years 6 months ago
Fast, Approximately Optimal Solutions for Single and Dynamic MRFs
A new efficient MRF optimization algorithm, called FastPD, is proposed, which generalizes -expansion. One of its main advantages is that it offers a substantial speedup over that ...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios