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FSTTCS
1990
Springer
15 years 4 months ago
Randomized Parallel Selection
We show that selection on an input of size N can be performed on a P-node hypercube (P = N/(log N)) in time O(N/P) with high probability, provided each node can process all the in...
Sanguthevar Rajasekaran
118
Voted
NIPS
2008
15 years 2 months ago
Exact Convex Confidence-Weighted Learning
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Koby Crammer, Mark Dredze, Fernando Pereira
107
Voted
MASCOTS
2007
15 years 2 months ago
Stochastic Bounds Applied to the End to End QoS in Communication Systems
—1 End to end QoS of communication systems is essential for users but their performance evaluation is a complex issue. The ion of such systems are usually given by multidimension...
Hind Castel, Lynda Mokdad, Nihal Pekergin
UAI
2003
15 years 2 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
98
Voted
ICML
2010
IEEE
15 years 1 months ago
Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering
We describe an algorithm for clustering using a similarity graph. The algorithm (a) runs in O(n log3 n + m log n) time on graphs with n vertices and m edges, and (b) with high pro...
Nader H. Bshouty, Philip M. Long