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» Iterative Improvement of Neural Classifiers
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ICASSP
2011
IEEE
14 years 4 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
CLEF
2010
Springer
15 years 1 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
AWIC
2007
Springer
15 years 6 months ago
Improving Text Classification by Web Corpora
A major difficulty of supervised approaches for text classification is that they require a great number of training instances in order to construct an accurate classifier. This pap...
Rafael Guzmán-Cabrera, Manuel Montes-y-G&oa...
IWANN
1999
Springer
15 years 4 months ago
Adaptive Resonance Theory Microchips
Recently, a real-time clustering microchip based on the ART1 algorithm has been reported. That chip was able to classify 100-bit input patterns into up to 18 categories. However, i...
Teresa Serrano-Gotarredona, Bernabé Linares...
FLAIRS
2004
15 years 1 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin