mloss.org BLOGhttp://mloss.orgUpdates and additions to BLOGenMon, 27 Apr 2015 06:52:05 -0000BLOG 0.9.1http://mloss.org/software/view/605/<html><p>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 </p> <p>BLOG also provides a query language to ask questions about what the world could possibly be after making observations. </p> <p>BLOG also refers to the default inference system for models specified in BLOG language. </p> <p>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. </p></html>Brian Milch, Yi Wu, Lei Li, Stuart RussellMon, 27 Apr 2015 06:52:05 -0000http://mloss.org/software/rss/comments/605http://mloss.org/software/view/605/samplingprobabilistic modelsbayesian inferencegeneric programming