Search for dissertations about: "Tatjana Pavlenko"
Showing result 1 - 5 of 6 swedish dissertations containing the words Tatjana Pavlenko.
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1. Discriminant analysis with growing dimension
Abstract : .... READ MORE
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2. Feature Informativeness, Curse-of-Dimensionality and Error Probability in Discriminant Analysis
Abstract : This thesis is based on four papers on high-dimensional discriminant analysis. Throughout, the curse-of-dimensionality effect on the precision of the discrimination performance is emphasized. A growing dimension asymptotic approach is used for assessing this effect and the limiting error probability are taken as the performance criteria. READ MORE
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3. Applications of common principal components in multivariate and high-dimensional analysis
Abstract : This thesis consists of four papers, all exploring some aspect of common principal component analysis (CPCA), the generalization of PCA to multiple groups. The basic assumption of the CPC model is that the space spanned by the eigenvectors is identical across several groups, whereas eigenvalues associated with the eigenvectors can vary. READ MORE
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4. Bayesian inference in probabilistic graphical models
Abstract : This thesis consists of four papers studying structure learning and Bayesian inference in probabilistic graphical models for both undirected and directed acyclic graphs (DAGs).Paper A presents a novel algorithm, called the Christmas tree algorithm (CTA), that incrementally construct junction trees for decomposable graphs by adding one node at a time to the underlying graph. READ MORE
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5. Bayesian structure learning in graphical models
Abstract : This thesis consists of two papers studying structure learning in probabilistic graphical models for both undirected graphs anddirected acyclic graphs (DAGs).Paper A, presents a novel family of graph theoretical algorithms, called the junction tree expanders, that incrementally construct junction trees for decomposable graphs. READ MORE
