Persons at STU
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Basic information about a final thesisAdditional informationAdditional information about the final thesis follows. Click on the language link to display the information in the desired language.
|Language of final thesis:||English|
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|Title of the thesis:||Graphical probability models and machine learning|
|Summary:||Probabilistic graphical models are developed to describe dependence structure among random variables. In recent years vine copulas gained the attention for even high dimensional analysis. We use vine copula model to predict deviation of atomic positions in protein, where the dependence on physical properties of protein is non-linear and so the use of copulas is natural choice. We also develop probabilistic classifier based on vine copula and use it to tackle bimodal distribution of output data. This approach combines techniques that are rather novel or were not tested before.|
|Key words:||vine copula, data analysus, graphical probability model|
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|–||Final thesis (final thesis appendices) unlimited|
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