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ICML
2005
IEEE
16 years 7 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
STOC
2009
ACM
120views Algorithms» more  STOC 2009»
16 years 7 months ago
A constant-factor approximation for stochastic Steiner forest
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
Anupam Gupta, Amit Kumar
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
16 years 6 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
RECOMB
2004
Springer
16 years 6 months ago
Chromosomal breakpoint re-use in the inference of genome sequence rearrangement
In order to apply gene-order rearrangement algorithms to the comparison of genome sequences, Pevzner and Tesler [9] bypass gene finding and ortholog identification, and use the or...
David Sankoff, Phil Trinh
PODS
2006
ACM
134views Database» more  PODS 2006»
16 years 6 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor