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» A class of instantaneously trained neural networks
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ICASSP
2011
IEEE
14 years 1 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
14 years 10 months ago
Context-dependent multi-class classification with unknown observation and class distributions with applications to bioinformatic
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Alex S. Baras, John S. Baras
IJCNN
2006
IEEE
15 years 3 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
58
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CLEF
2010
Springer
14 years 10 months ago
myClass: A Mature Tool for Patent Classification
In this task 2,000 patents in three languages (English, French and German) were to be classified among approximately 600 categories. We used a classifier based on neural networks ...
Jacques Guyot, Karim Benzineb, Gilles Falquet
PAMI
2008
173views more  PAMI 2008»
14 years 9 months ago
Bayes Classification of Online Arabic Characters by Gibbs Modeling of Class Conditional Densities
This study investigates Bayes classification of online Arabic characters using histograms of tangent differences and Gibbs modeling of the class-conditional probability density fun...
Neila Mezghani, Amar Mitiche, Mohamed Cheriet