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» Experiments with Classifier Combining Rules
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ICML
1991
IEEE
15 years 4 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 5 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
IAJIT
2008
207views more  IAJIT 2008»
15 years 1 months ago
Neural Networks and Support Vector Machines Classifiers for Writer Identification Using Arabic Script
: In this paper, we present an approach for writer identification carried out using off-line Arabic handwriting. Our proposed method is based on the combination of global and struc...
Sami Gazzah, Najoua Essoukri Ben Amara
AVBPA
2003
Springer
135views Biometrics» more  AVBPA 2003»
15 years 5 months ago
Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS
We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comp...
Fabien Cardinaux, Conrad Sanderson, Sébasti...
ICASSP
2011
IEEE
14 years 5 months ago
Classifier subset selection and fusion for speaker verification
State-of-the-art speaker verification systems consists of a number of complementary subsystems whose outputs are fused, to arrive at more accurate and reliable verification deci...
Filip Sedlak, Tomi Kinnunen, Ville Hautamäki,...