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» Evaluating Statistical Power Optimization
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 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...
CCGRID
2003
IEEE
14 years 3 months ago
Criticality-based Analysis and Design of Unstructured Peer-to-Peer Networks as "Complex Systems"
— Due to enormous complexity of the unstructured peer-to-peer networks as large-scale, self-configure, and dynamic systems, the models used to characterize these systems are eit...
Farnoush Banaei Kashani, Cyrus Shahabi
DAC
2010
ACM
14 years 29 days ago
A probabilistic and energy-efficient scheduling approach for online application in real-time systems
This work considers the problem of minimizing the power consumption for real-time scheduling on processors with discrete operating modes. We provide a model for determining the ex...
Thorsten Zitterell, Christoph Scholl
SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
14 years 9 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
AI
1999
Springer
13 years 9 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle