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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
15 years 10 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
IPPS
2009
IEEE
15 years 4 months ago
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT
Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysi...
George Chin Jr., Andrès Márquez, Sut...
ICPP
2008
IEEE
15 years 4 months ago
Enabling Streaming Remoting on Embedded Dual-Core Processors
Dual-core processors (and, to an extent, multicore processors) have been adopted in recent years to provide platforms that satisfy the performance requirements of popular multimed...
Kun-Yuan Hsieh, Yen-Chih Liu, Po-Wen Wu, Shou-Wei ...
SAG
2004
Springer
15 years 3 months ago
A Framework for the Design and Reuse of Grid Workflows
Grid workflows can be seen as special scientific workflows involving high performance and/or high throughput computational tasks. Much work in grid workflows has focused on improvi...
Ilkay Altintas, Adam Birnbaum, Kim Baldridge, Wibk...