Martin Plajner

Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions

2018 · Digital Repository (National Repository of Grey Literature)

Learning parameters of a probabilistic model is a necessary step in most machine learning modeling tasks. When the model is complex and data volume is small the learning process may fail to provide good results. …