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» On the Use of Evidence in Neural Networks
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KAIS
2006
229views more  KAIS 2006»
15 years 6 months ago
Call classification using recurrent neural networks, support vector machines and finite state automata
Our objective is spoken language classification for helpdesk call routing using a scanning understanding and intelligent system techniques. In particular, we examine simple recurre...
Sheila Garfield, Stefan Wermter
MLMI
2007
Springer
16 years 12 days ago
Binaural Speech Separation Using Recurrent Timing Neural Networks for Joint F0-Localisation Estimation
A speech separation system is described in which sources are represented in a joint interaural time difference-fundamental frequency (ITD-F0) cue space. Traditionally, recurrent t...
Stuart N. Wrigley, Guy J. Brown
VLSISP
2002
114views more  VLSISP 2002»
15 years 5 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
DELTA
2008
IEEE
15 years 8 months ago
A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
Maxime Ambard, Bin Guo, Dominique Martinez, Amine ...
BMCBI
2004
100views more  BMCBI 2004»
15 years 6 months ago
Auto-validation of fluorescent primer extension genotyping assay using signal clustering and neural networks
Background: SNP genotyping typically incorporates a review step to ensure that the genotype calls for a particular SNP are correct. For high-throughput genotyping, such as that pr...
Ching Yu Austin Huang, Joel F. Studebaker, Anton Y...