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» A Quality Measure for Distributed Clustering
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128
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VLDB
2005
ACM
118views Database» more  VLDB 2005»
15 years 9 months ago
Mining Compressed Frequent-Pattern Sets
A major challenge in frequent-pattern mining is the sheer size of its mining results. In many cases, a high min sup threshold may discover only commonsense patterns but a low one ...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
119
Voted
VLSISP
2008
159views more  VLSISP 2008»
15 years 3 months ago
Effective Code Generation for Distributed and Ping-Pong Register Files: A Case Study on PAC VLIW DSP Cores
The compiler is generally regarded as the most important software component that supports a processor design to achieve success. This paper describes our application of the open re...
Yung-Chia Lin, Chia-Han Lu, Chung-Ju Wu, Chung-Lin...
115
Voted
ICC
2007
IEEE
109views Communications» more  ICC 2007»
15 years 10 months ago
Adaptive Wavelength Assignment Using Wavelength Spectrum Separation for Distributed Optical Networks
— As an optical signal propagates along a lightpath to its destination in distributed wavelength-routed optical networks, the signal’s quality is degraded by transmission impai...
Jun He, Maïté Brandt-Pearce, Yvan Poin...
151
Voted
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 2 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
150
Voted
CEC
2009
IEEE
15 years 10 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...