Predictive Classification and Bayesian Inference
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dc.contributor.author |
Xiong, Jie |
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dc.date.accessioned |
2015-05-13T05:41:50Z |
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dc.date.available |
2015-06-05 |
fi |
dc.date.available |
2015-05-13T05:41:50Z |
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dc.date.issued |
2015-06-15 |
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dc.identifier.uri |
http://hdl.handle.net/10138/154643 |
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dc.identifier.uri |
URN:ISBN:978-951-51-1244-6 |
fi |
dc.description.abstract |
A general inductive probabilistic framework for clustering and classification is introduced using the principles of Bayesian predictive inference, such that all quantities are jointly modelled and the uncertainty is fully acknowledged through the posterior predictive distribution. Several learning rules have been considered and the theoretical results are extended to acknowledge complex dependencies within the datasets. Multiple probabilistic models have been developed for analysing data from a wide variate of fields of application. State-of-art algorithms are introduced and developed for the model optimization. |
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dc.description.abstract |
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fi |
dc.format.mimetype |
application/pdf |
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dc.language.iso |
eng |
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dc.publisher |
Helsingin yliopisto |
fi |
dc.publisher |
Helsingfors universitet |
sv |
dc.publisher |
University of Helsinki |
en |
dc.relation.isformatof |
URN:ISBN:978-951-51-1243-9 |
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dc.rights |
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty. |
fi |
dc.rights |
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. |
en |
dc.rights |
Publikationen är skyddad av upphovsrätten. Den får läsas och skrivas ut för personligt bruk. Användning i kommersiellt syfte är förbjuden. |
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dc.subject |
statistics |
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dc.title |
Predictive Classification and Bayesian Inference |
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dc.type.ontasot |
Doctoral dissertation (article-based) |
en |
dc.type.ontasot |
Artikkeliväitöskirja |
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dc.type.ontasot |
Artikelavhandling |
sv |
dc.ths |
Corander, Jukka |
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dc.opn |
Frigessi, Arnoldo |
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dc.type.dcmitype |
Text |
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dc.contributor.organization |
University of Helsinki, Faculty of Science, Department of Mathematics and Statistics |
en |
dc.contributor.organization |
Helsingin yliopisto, matemaattis-luonnontieteellinen tiedekunta, matematiikan ja tilastotieteen laitos |
fi |
dc.contributor.organization |
Helsingfors universitet, matematisk-naturvetenskapliga fakulteten, institutionen för matematik och statistik |
sv |
dc.type.publication |
doctoralThesis |
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