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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 3 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
IWAN
2000
Springer
14 years 1 months ago
Active Concealment for Internet Speech Transmission
Recently, active networks have been highlighted as a key enabling technology to obtain immense flexibility in terms of network deployment, configurability, and packet processing. E...
Long Le, Henning Sanneck, Georg Carle, Tohru Hoshi
CVPR
2012
IEEE
12 years 3 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 7 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
ICDE
2002
IEEE
204views Database» more  ICDE 2002»
14 years 11 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
Sudipto Guha, Nick Koudas