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12

NN
2000
Springer

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Learning non-stationary conditional probability distributions

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Learning non-stationary conditional probability distributions

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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. 2000 Elsevier Science Ltd. All rights reserved.

Dirk Husmeier

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Added	19 Dec 2010
Updated	19 Dec 2010
Type	Journal
Year	2000
Where	NN
Authors	Dirk Husmeier

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