Feature subset analysis using Bayesian conditional models

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Supervisor:
Dr. Antal Péter
Department of Measurement and Information Systems

In my thesis I describe an approach to use a bayesian modell for a feature selection. In the first part of my thesis i will review the literature of current bayesian stochastic search variable selection methods. After a short introduction for Bayesin conditional model, i introduce an algorithm of the above for adapting and upgrading with involving other methods. After implementing the upgraded algorithm, I will show algorithm correctness on prepared data. When I presented the implemented algorithm correctness, I will apply it on live data.

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