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Measurability Aspects of the Compactness Theorem for Sample Compression Schemes

dc.contributor.authorKalajdzievski, Damjan
dc.contributor.supervisorPestov, Vladimir
dc.date.accessioned2012-07-31T11:12:55Z
dc.date.available2012-07-31T11:12:55Z
dc.date.created2012
dc.date.issued2012
dc.degree.disciplineSciences / Science
dc.degree.levelmasters
dc.degree.nameMSc
dc.description.abstractIn 1998, it was proved by Ben-David and Litman that a concept space has a sample compression scheme of size $d$ if and only if every finite subspace has a sample compression scheme of size $d$. In the compactness theorem, measurability of the hypotheses of the created sample compression scheme is not guaranteed; at the same time measurability of the hypotheses is a necessary condition for learnability. In this thesis we discuss when a sample compression scheme, created from compression schemes on finite subspaces via the compactness theorem, have measurable hypotheses. We show that if $X$ is a standard Borel space with a $d$-maximum and universally separable concept class $\m{C}$, then $(X,\CC)$ has a sample compression scheme of size $d$ with universally Borel measurable hypotheses. Additionally we introduce a new variant of compression scheme called a copy sample compression scheme.
dc.embargo.termsimmediate
dc.faculty.departmentMathématiques et statistique / Mathematics and Statistics
dc.identifier.urihttp://hdl.handle.net/10393/23133
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-5915
dc.language.isoen
dc.publisherUniversité d'Ottawa / University of Ottawa
dc.subjectStatistical Learning
dc.subjectVC-dimension
dc.subjectPAC learnability
dc.subjectSample Compression Schemes
dc.subjectMeasurability of Sample Compression Schemes
dc.titleMeasurability Aspects of the Compactness Theorem for Sample Compression Schemes
dc.typeThesis
thesis.degree.disciplineSciences / Science
thesis.degree.levelMasters
thesis.degree.nameMSc
uottawa.departmentMathématiques et statistique / Mathematics and Statistics

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