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Title: Probabilistic multiple kernel learning
Author: Damoulas, Theodoros
Awarding Body: University of Glasgow
Current Institution: University of Glasgow
Date of Award: 2009
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The integration of multiple and possibly heterogeneous information sources for an overall decision-making process has been an open and unresolved research direction in computing science since its very beginning. This thesis attempts to address parts of that direction by proposing probabilistic data integration algorithms for multiclass decisions where an observation of interest is assigned to one of many categories based on a plurality of information channels.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: QA75 Electronic computers. Computer science ; QA76 Computer software ; Q Science (General)