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Thesis

Classification of partially labelled data using "mixture of expert" models

Abstract:

In this thesis, we are concerned with the classification of partially labeled data. By partially labeled data we mean data where measurements are available from experimental units which are known to belong to one of a set of known classes but whose individual membership to subclasses within the known class is not known. Examples of these applications include fisheries research where fish lengths are available but sexual identities are not, sedimentology where information is available...

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Division:
MPLS
Department:
Statistics
Role:
Author

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Supervisor
University of Oxford - Department of Statistics More from this funder
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:131e7d46-97a7-49ff-94b3-dd6654ebcf0f
Deposit date:
2019-05-02

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