Probabilistic Classifiers
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
Supervised learning is an important problem in machine learning. In this thesis, we focus
on probabilistic classification based on linear models and mixture models to find the ones that
are the most suitable for the given data.
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Keywords: probabilistic classification, bayesian statistics, linear model, mixture model.