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» Improved Algorithms for the k Maximum-Sums Problems
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ICDT
2011
ACM
232views Database» more  ICDT 2011»
14 years 1 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...
FOCS
2008
IEEE
15 years 4 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. ...
Michael Ben-Or, Avinatan Hassidim
SODA
2010
ACM
214views Algorithms» more  SODA 2010»
15 years 7 months ago
Amplified Hardness of Approximation for VCG-Based Mechanisms
If a two-player social welfare maximization problem does not admit a PTAS, we prove that any maximal-in-range truthful mechanism that runs in polynomial time cannot achieve an app...
Shaddin Dughmi, Hu Fu, Robert Kleinberg
SODA
1997
ACM
93views Algorithms» more  SODA 1997»
14 years 11 months ago
Fast Approximate Graph Partitioning Algorithms
We study graph partitioning problems on graphs with edge capacities and vertex weights. The problems of b-balanced cuts and k-balanced partitions are unified into a new problem ca...
Guy Even, Joseph Naor, Satish Rao, Baruch Schieber
SEMCO
2008
IEEE
15 years 4 months ago
Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment
In this paper, we consider a sentiment regression problem: summarizing the overall sentiment of a review with a real-valued score. Empirical results on a set of labeled reviews sh...
Adam Drake, Eric K. Ringger, Dan Ventura