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» Scaling Clustering Algorithms to Large Databases
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ECML
2006
Springer
15 years 5 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
JMLR
2006
124views more  JMLR 2006»
15 years 1 months ago
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...
Tijl De Bie, Nello Cristianini
SIS
2004
15 years 3 months ago
Efficient Tree Search in Encrypted Data
Abstract. Sometimes there is a need to store sensitive data on an untrusted database server. Song, Wagner and Perrig have introduced a way to search for the existence of a word in ...
Richard Brinkman, Ling Feng, Jeroen Doumen, Pieter...
OSDI
2008
ACM
16 years 2 months ago
Hunting for Problems with Artemis
Artemis is a modular application designed for analyzing and troubleshooting the performance of large clusters running datacenter services. Artemis is composed of four modules: (1)...
Gabriela F. Cretu-Ciocarlie, Mihai Budiu, Mois&eac...
BMCBI
2007
99views more  BMCBI 2007»
15 years 1 months ago
Statistical significance of cis-regulatory modules
Background: It is becoming increasingly important for researchers to be able to scan through large genomic regions for transcription factor binding sites or clusters of binding si...
Dustin E. Schones, Andrew D. Smith, Michael Q. Zha...