| BayesiaLab is a Bayesian Network laboratory including a broad set of Machine Learning and Data Mining tools: a set of very effective unsupervised learning methods for association discovery, unsupervised learning methods for new concepts discovery (segmentation, clustering) and supervised learning methods that focus on a target variable (from classical Naive Bayes classifiers to an original Augmented Markov Blanket learning allowing a tremendous gain in time and readability). BayesiaLab also comes with an analysis toolbox that allows discovering very quickly the strength and the type of the probabilistic relations encoded by the learned bayesian networks. | | |
