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» MapReduce: Simplified Data Processing on Large Clusters
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ANTSW
2004
Springer
14 years 1 months ago
Hypothesis Corroboration in Semantic Spaces with Swarming Agents
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to suppo...
Peter Weinstein, H. Van Dyke Parunak, Paul Chiusan...
MSO
2003
13 years 9 months ago
Control System Design of the CERN/CMS Tracker Thermal Screen
The Tracker is one of the CMS (Compact Muon Solenoid experiment) detectors to be installed at the LHC (Large Hadron Collider) accelerator, scheduled to start data taking in 2007. ...
Enzo Carrone, Andromachi Tsirou
ICPR
2006
IEEE
14 years 8 months ago
A Prototypes-Embedded Genetic K-means Algorithm
This paper presents a genetic algorithm (GA) for Kmeans clustering. Instead of the widely applied stringof-group-numbers encoding, we encode the prototypes of the clusters into th...
Hsin-Chia Fu, Hsin-Min Wang, Shih-Sian Cheng, Yi-H...
EMNLP
2008
13 years 9 months ago
Unsupervised Models for Coreference Resolution
We present a generative model for unsupervised coreference resolution that views coreference as an EM clustering process. For comparison purposes, we revisit Haghighi and Klein�...
Vincent Ng

Publication
197views
12 years 3 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...