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PAMI
1998
128views more  PAMI 1998»
14 years 9 months ago
A Hierarchical Latent Variable Model for Data Visualization
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
Christopher M. Bishop, Michael E. Tipping
SIGKDD
2002
83views more  SIGKDD 2002»
14 years 9 months ago
Towards Effective and Interpretable Data Mining by Visual Interaction
The primary aim of most data mining algorithms is to facilitate the discovery of concise and interpretable information from large amounts of data. However, many of the current for...
Charu C. Aggarwal
NAR
2007
128views more  NAR 2007»
14 years 9 months ago
Berkeley Phylogenomics Group web servers: resources for structural phylogenomic analysis
Phylogenomic analysis addresses the limitations of function prediction based on annotation transfer, and has been shown to enable the highest accuracy in prediction of protein mol...
Jake Gunn Glanville, Dan Kirshner, Nandini Krishna...
IJDMMM
2010
128views more  IJDMMM 2010»
14 years 8 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
WINET
2010
147views more  WINET 2010»
14 years 8 months ago
Hybrid trust and reputation management for sensor networks
Wireless sensor networks are characterised by the distributed nature of their operation and the resource constraints on the nodes. Trust management schemes that are targeted at sen...
Efthimia Aivaloglou, Stefanos Gritzalis