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Moral Markov Blankets: An Investigation of Some Properties and Value for Machine Learning

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thesis
posted on 08.06.2020, 06:15 by YANG LI
The thesis studies the how to efficiently and effectively learn Markov blankets from data. The thesis also studies some of the properties of Markov blankets, so that their quality can be further improved by using these properties. The main application of Markov blankets that this thesis concerns is scaling up Bayesian network structure learning to high dimensional data sets.

History

Campus location

Australia

Principal supervisor

Kevin Burt Korb

Additional supervisor 1

Lloyd Allison

Year of Award

2020

Department, School or Centre

Clayton School of IT

Course

Doctor of Philosophy

Degree Type

DOCTORATE

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