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» Methods for Dynamic Classifier Selection
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LREC
2010
176views Education» more  LREC 2010»
13 years 10 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer
FLAIRS
2008
13 years 11 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
CDC
2008
IEEE
114views Control Systems» more  CDC 2008»
13 years 11 months ago
Dynamic test selection for reconfigurable diagnosis
Abstract-- Detecting and isolating multiple faults is a computationally intense task which typically consists of computing a set of tests, and then computing the diagnoses based on...
Mattias Krysander, Fredrik Heintz, Jacob Roll, Eri...
AAAI
1996
13 years 10 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
ICANN
1997
Springer
14 years 14 days ago
Local Subspace Classifier
Subsystems for on-line recognition of handwriting are needed in personal digital assistants (PDAs) and other portable handheld devices. We have developed a recognition system whic...
Jorma Laaksonen