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cs.LG2023
Bayesian Decision Trees Inspired from Evolutionary Algorithms
Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis +1
Bayesian Decision Trees (DTs) are generally considered a more advanced and accurate model than a regular Decision Tree (DT) because they can handle complex and uncertain data. Exis…
stat.CO2023★ 1 cited
Parallel Approaches to Accelerate Bayesian Decision Trees
Efthyvoulos Drousiotis, Paul G. Spirakis, Simon Maskell
Markov Chain Monte Carlo (MCMC) is a well-established family of algorithms primarily used in Bayesian statistics to sample from a target distribution when direct sampling is challe…