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.
Biomathematics and Statistics Scotland at the Scottish Crop Research Institute, Invergowrie, Dundee, UK. dirk@bioss.sari.ac.uk
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Husmeier
D008959:Models, Neurological; D016571:Neural Networks, Computer