Project details for BLOG

Logo BLOG 0.9.1

by jxwuyi - April 27, 2015, 06:52:05 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

Bayesian Logic (BLOG) is a probabilistic modeling language. It is designed for representing relations and uncertainties among real world objects. For instance, tracking multiple targets in a video. BLOG makes it easy and concise to represent - uncertainty about the existence (and the number) of underlying objects - uncertain relations among objects - dependencies among relations and functions - observed evidence

BLOG also provides a query language to ask questions about what the world could possibly be after making observations.

BLOG also refers to the default inference system for models specified in BLOG language.

The BLOG system is developed in Java. Any Java function can be easily called within the BLOG system. It also has a Scala interactive shell and a translator for Scala.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Windows, Ubuntu, Mac Os
Data Formats: Various
Tags: Sampling, Probabilistic Models, Bayesian Inference, Generic Programming
Archive: download here

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