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» Sensor Errors Prediction Using Neural Networks
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IWANN
2001
Springer
15 years 2 months ago
Using Contextual Information to Selectively Adjust Preprocessing Parameters
Abstract. It is generally accepted that some of the problems and ambiguities at the low level of processing can not be resolved without taking into account contextual expectations....
Predrag Neskovic, Leon N. Cooper
ANNPR
2006
Springer
15 years 1 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
IJIT
2004
14 years 11 months ago
Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Z. Zainuddin, N. Mahat, Y. Abu Hassan
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
14 years 12 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
ICIP
2002
IEEE
15 years 11 months ago
Hybrid and parallel face classifier based on artificial neural networks and principal component analysis
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
Peter V. Bazanov, Tae-Kyun Kim, Seok-Cheol Kee, Sa...