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» Parallelizing Feature Selection
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ISIWI
2000
15 years 6 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
136
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PTS
1993
91views Hardware» more  PTS 1993»
15 years 6 months ago
Generating Tests for Control Portion of SDL Specifications
The signal SAVE construct is one of the features distinguishing SDL from convent specification and programming languages. On the other hand, this feature increase testing SDL-spec...
Gang Luo, Anindya Das, Gregor von Bochmann
EAAI
2007
90views more  EAAI 2007»
15 years 5 months ago
AI techniques in modelling, assignment, problem solving and optimization
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
Zsolt János Viharos, Zsolt Kemény
136
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JMM2
2006
80views more  JMM2 2006»
15 years 5 months ago
Implementing Holistic Dimensions for a Facial Composite System
Facial composites are pictures of human faces. These are normally constructed by victims and witnesses of crime who describe a suspect's face and then select individual facial...
Charlie D. Frowd, Vicki Bruce, Alex H. McIntyre, D...
IJBRA
2007
97views more  IJBRA 2007»
15 years 4 months ago
Structural Risk Minimisation based gene expression profiling analysis
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...