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KDD
2004
ACM
137views Data Mining» more  KDD 2004»
16 years 5 days ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
BIOINFORMATICS
2005
71views more  BIOINFORMATICS 2005»
15 years 6 months ago
Semi-supervised protein classification using cluster kernels
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
SIGMOD
2010
ACM
213views Database» more  SIGMOD 2010»
15 years 11 months ago
On active learning of record matching packages
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
Arvind Arasu, Michaela Götz, Raghav Kaushik
TKDE
2011
186views more  TKDE 2011»
15 years 1 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...
COMCOM
2008
95views more  COMCOM 2008»
15 years 6 months ago
Collaborative data gathering in wireless sensor networks using measurement co-occurrence
Data gathering is a basic activity of many wireless sensor network applications. We propose a novel collaborative data gathering approach utilizing data co
Konstantinos Kalpakis, Shilang Tang