DeSTIN
From OpenCog
DeSTIN stands for Deep SpatioTemporal Inference Network and is a scalable deep learning architecture that relies on a combination of unsupervised learning and Bayesian inference. A paper by the inventors of this method is available.
The OpenCog Foundation has adopted this academic project to prepare it for open-source release. Developers interested in working with us to these ends are invited to contact us.
Various notes & papers related to ways of implementing OpenCog with DeSTIN:
- http://www.goertzel.org/CogBot_public.pdf
- http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/download/3562/4096
- https://groups.google.com/group/opencog/browse_thread/thread/c9cccbdda0e37118?pli=1
