Berthold MR. (1998). Constructive training of probabilistic neural networks Neurocomputing. 19
Burrascano P. (1991). Learning vector quantization for the probabilistic neural network. IEEE transactions on neural networks. 2 [PubMed]
Cacoullos T. (1966). Estimation of a multi-variate density Ann Institute Math Stat. 18
Chang CC, Lin CJ. (2001). LIBSVM: A library for Support Vector Machines Available online at: http:--www.csie.ntu.edu.tw-cjlin-libsvm.
Friedman JH. (1991). Multivariate Adaptive Regression Splines Ann Stat. 19
Galleske I, Castellanos J. (2002). Optimization of the kernel functions in a probabilistic neural network analyzing the local pattern distribution. Neural Comput. 14
KEEL (Knowledge Extraction Based on Evolutionary Learning). (2002). Data sets Available online at http:--www.keel.es-.
Newman D, Hettich S, Blake C, Merz C. (1998). UCI repository of machine learning databases Available online at http:--www.ics.uci.edu-mlearn-MLRepository.html.
Parzen E. (1962). On the estimation of a probability density function and mode Ann Math Stat. 33
Specht DF. (1990). Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification. IEEE transactions on neural networks. 1 [PubMed]
Specht DF. (1991). A general regression neural network. IEEE transactions on neural networks. 2 [PubMed]
Specht DF. (1992). Enhancements to probabilistic neural networks Proc IEEE Intl Join Conf Neural Networks. 1
Specht DF. (1994). Experience with adaptive probabilistic neural networks and adaptive general regression neural networks Proc IEEE World Congress Comput Intel. 2
Tibshirani R et al. (1996). The DELVE manual Available on-line: http:--www.cs.toronto.edu-~delve-.
Traven HGC. (1991). A neural network approach to statistical pattern classification by semi-parametric estimation of probability density functions IEEE Trans Neural Networks. 2
Tseng ML. (1991). Integrating neural networks with influence diagrams for multiple sensordiagnostic systems Unpublished doctoral dissertation, University of California.
Williamson JR. (1996). Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps. Neural networks : the official journal of the International Neural Network Society. 9 [PubMed]
Williamson JR. (1997). A constructive, incremental-learning network for mixture modeling and classification Neural Comput. 9