103 search results - page 4 / 21 » Just-in-Time Adaptive Classifiers - Part II: Designing the C... |
JMLR
2008
13 years 7 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents the design and implementation of an adaptive open-set speaker identification system with genetic learning classifier systems. One of the challenging problems i...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—The stationarity hypothesis is largely and implicitly assumed when designing classifiers (especially those for industrial applications) but it does not generally hold in practic...
PAKDD
2000
ACM
13 years 11 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
ICALT
2006
IEEE
14 years 1 months ago
2006
IEEE
This position paper shows how several classical methods in adaptive learning can be addressed using IMS Learning Design. After a definition of four main questions to classify adap...