An Efficient Algorithm for Learning Bayesian Networks from Data
Norbert Dojer · Fundamenta Informaticae · 2010
We propose an algorithm for learning an optimal Bayesian network from data. Our method is addressed to biological applications, where usually datasets are small, and sets of random variables are large. Moreover, we assume that there is no need to exa