JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.

Project Activity

See All Activity >

Follow JProGraM

JProGraM Web Site

Other Useful Business Software

2018 Network Intelligence Planning Guide 2018 Network Intelligence Planning Guide Icon
2018 Network Intelligence Planning Guide Icon

Get insights on net neutrality, cloud readiness, security and WAN transformation.

Networking is becoming cloudier, hybrid and more Internet-centric. IT managers now own user experience, whether they own the networks or not. Get our latest ebook to learn how network intelligence will help you adapt to a quickly changing Internet-centric environment.
Are you involved with your company's network performance/operations team?
Get Ebook

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of JProGraM!

Additional Project Details

Intended Audience

Science/Research

Programming Language

Java

Registered

2008-02-14