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» Evaluating algorithms that learn from data streams
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196
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IICAI
2003
15 years 8 months ago
Performance Analysis of an Acyclic Genetic approach to Learn Bayesian Network Structure
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
Pankaj B. Gupta, Vicki H. Allan
BMCBI
2006
142views more  BMCBI 2006»
15 years 7 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
PKDD
2001
Springer
108views Data Mining» more  PKDD 2001»
15 years 11 months ago
Knowledge Discovery in Multi-label Phenotype Data
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
Amanda Clare, Ross D. King
192
Voted
ICIP
2002
IEEE
15 years 11 months ago
Wavelet coding of volumetric medical datasets
—Several techniques based on the three–dimensional (3-D) discrete cosine transform (DCT) have been proposed for volumetric data coding. These techniques fail to provide lossles...
Adrian Munteanu, Peter Schelkens, Jan Cornelis
ICIP
2004
IEEE
16 years 8 months ago
Rate-constrained adaptive fec for video over erasure channels with memory
Current adaptive FEC schemes used for video streaming applications alter the redundancy in a block of message packets to adapt to varying channel conditions. However, for many pop...
Shirish S. Karande, Hayder Radha