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DATAMINE
2006
166views more  DATAMINE 2006»
13 years 7 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis
SODA
2008
ACM
104views Algorithms» more  SODA 2008»
13 years 9 months ago
Ranged hash functions and the price of churn
Ranged hash functions generalize hash tables to the setting where hash buckets may come and go over time, a typical case in distributed settings where hash buckets may correspond ...
James Aspnes, Muli Safra, Yitong Yin
TIT
2011
149views more  TIT 2011»
13 years 2 months ago
Network Coding for Computing: Cut-Set Bounds
Abstract—The following network computing problem is considered. Source nodes in a directed acyclic network generate independent messages and a single receiver node computes a tar...
Rathinakumar Appuswamy, Massimo Franceschetti, Nik...
AAAI
2007
13 years 9 months ago
On the Value of Good Advice: The Complexity of A* Search with Accurate Heuristics
We study the behavior of the classical A∗ search algorithm when coupled with a heuristic that provides estimates, accurate to within a small multiplicative factor, of the distan...
Hang T. Dinh, Alexander Russell, Yuan Su
JCT
2000
103views more  JCT 2000»
13 years 7 months ago
A Combinatorial Algorithm Minimizing Submodular Functions in Strongly Polynomial Time
We give a strongly polynomial-time algorithm minimizing a submodular function f given by a value-giving oracle. The algorithm does not use the ellipsoid method or any other linear ...
Alexander Schrijver