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» A Quality Measure for Distributed Clustering
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VLDB
2005
ACM
118views Database» more  VLDB 2005»
15 years 11 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
VLSISP
2008
159views more  VLSISP 2008»
15 years 5 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...
ICC
2007
IEEE
109views Communications» more  ICC 2007»
15 years 12 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...
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 4 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
CEC
2009
IEEE
16 years 9 days 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...