Description:

JProGraM is an open-source Java library which can be used for learning the following probabilistic models from data: Bayesian networks, Markov random fields, hybrid random fields, probabilistic decision trees, dependency networks, Gaussian mixture models, and Parzen windows. Along with learning algorithms, some simple inference methods are also supported by JProGraM.

BibTeX Entry:

Download

Corresponding Paper BibTeX Entry:

Download

URL:

Project Homepage

Supported Operating Systems:

Agnostic

Tags:

Machine Learning, Decision Tree Learning, Naive Bayes, Bayesian Networks, Graphical Models, Markov Random Fields, Dependency Networks, Hybrid Random Fields, Parametric Density Estimation, Nonparametri

Archive:

download here

Comments

No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment