In order to better understand complex Belief-Propagation models tested with our simulator we have identified a strong need for a simple visualization tool that will grant us insight of the tested graphs.
"We explain the principles behind the belief propagation (BP) algorithm, which is an efficient way to solve inference problems based on passing local messages."
Judea Pearl is one of the pioneers of Bayesian networks and the probabilistic approach to artificial intelligence. Invented the belief propagation algorithm.
"Maybe you're a girl looking for a boyfriend, but the boy you're interested in refuses to date anyone who "isn't Bayesian". What matters is that Bayes is cool, and if you don't know Bayes, you aren't cool."
This list is intended to introduce some of the tools of Bayesian statistics and machine learning that can be useful to computational research in cognitive science.
The NetAnalyzer Project drives open source development of interactive control, debugging, analysis, and visualization tools for Hierarchical Temporal Memory (HTM).
R. Odaira, J. Castanos, and H. Tomari. Proceedings of the 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, page 131--142. New York, NY, USA, ACM, (2014)
S. Jafri, G. Voskuilen, and T. Vijaykumar. Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems, page 521--534. New York, NY, USA, ACM, (2013)serialized execution of contended regions, kind of related to "delegated isolation" paper?.