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On the combination of supervised and unsupervised learning
Authors:Nathan Intrator
Institution:

School of Mathematical Sciences, Tel-Aviv University, Ramat-Aviv 69978, Israel

Abstract:The bias/variance dilemma is addressed in the context of neural networks. A bias constraint based on prior knowledge about the underlying distribution of the data is discussed as a means for reducing the overall error measure of a classifier.
Keywords:
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