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. 2000 Elsevier Science Ltd. All rights reserved.

• Type: Journal
• Year: 2000
• Where: NN
• Authors: Dirk Husmeier
• Keywords: Conditional Probabilities, Elsevier Science Ltd, Neural Networks, NN 2000, Sophisticated Neural Networks