https://www.quora.com/What-are-some-good-libraries-for-dynamic-Bayesian-networks
What are some good libraries for dynamic Bayesian networks?
2 Answers
- libDAI - A free and open source C++ library for Discrete Approximate Inference in graphical models (C++)
- Mocapy++ (C++)
- The Graphical Models Toolkit (GMTK) (only binaries for Linux/Cygwin, and old)
- Learning Globally Optimal Dynamic Bayesian Network with the GlobalMIT: more about learning the structure (C++)
- pmtk3 - probabilistic modeling toolkit for Matlab/Octave, version 3
- MATLAB BNT: only allows to define two different classes, so it's actually not really dynamic...
Another list: Software Packages for Graphical Models Updated Aug 26, 2013 • View Upvotes
本文推荐了几款用于动态贝叶斯网络的优秀库,包括libDAI、Mocapy++、GMTK等C++库,以及适用于Matlab/Octave的pmtk3。这些库覆盖了从模型定义到全局最优结构学习等多个方面。

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