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)

Abstract

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
• Status: Published
• Refereed: Yes
• 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
• ISSN: 0893-6080