IEEE Transactions on Information Theory
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Pattern Classification with Noisy Features
SSPR '98/SPR '98 Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
Fault Diagnosis: Models, Artificial Intelligence, Applications
Fault Diagnosis: Models, Artificial Intelligence, Applications
Fast k-NN Classification Rule Using Metrics on Space-Filling Curves
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
On the construction and training of reformulated radial basis function neural networks
IEEE Transactions on Neural Networks
MAD Loss in Pattern Recognition and RBF Learning
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Random Projection RBF Nets for Multidimensional Density Estimation
International Journal of Applied Mathematics and Computer Science - Issues in Fault Diagnosis and Fault Tolerant Control
Pattern recognition with linearly structured labels using recursive kernel estimator
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
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The task of faults localization is discussed in a model-free setting. As a tool for its solution we consider a multiclass pattern recognition problem with a metric in the label space. Then, this problem is approximately solved, providing hints on selecting appropriate RBF nets. It was shown that the approximate solution is the exact one in several important cases. Finally, we propose the algorithm for learning the proposed RBF net. The results of its testing are briefly reported.