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» Evaluating Adaptive Problem Selection
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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 2 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
CIKM
2005
Springer
14 years 2 months ago
Adaptive load shedding for windowed stream joins
We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
CSDA
2004
81views more  CSDA 2004»
13 years 8 months ago
A note on split selection bias in classification trees
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
Y.-S. Shih
IPMI
2001
Springer
14 years 9 months ago
An Adaptive Level Set Method for Medical Image Segmentation
An efficient adaptive multigrid level set method for front propagation purposes in three dimensional medical image processing and segmentation is presented. It is able to deal with...
Marc Droske, Bernhard Meyer, Martin Rumpf, Carlo S...
ICDAR
2009
IEEE
14 years 3 months ago
Generic Feature Selection and Document Processing
This paper presents a generic features selection method and its applications on some document analysis problems. The method is based on a genetic algorithm (GA), whose tness funct...
Hassan Chouaib, Nicole Vincent, Florence Cloppet, ...