Learning non-stationary conditional probability distributions.
While sophisticated neural networks and graphical models have been developed for predicting conditional probabilities in a non-stationary environment, major improvements in the training schemes are still required to make these approaches practically viable.
Husmeier
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Biomathematics and Statistics Scotland at the Scottish Crop Research Institute, Invergowrie, Dundee, UK. dirk@bioss.sari.ac.uk
D008959:Models, Neurological; D016571:Neural Networks, Computer