Learning non-stationary conditional probability distributions

Husmeier, D. (2000) Learning non-stationary conditional probability distributions. Neural Networks, 13(3), pp. 287-290. (doi: 10.1016/S0893-6080(00)00018-6)

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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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk
Authors: Husmeier, D.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Neural Networks

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