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.
Briefly put, DeSTIN uses on online clustering algorithm to hierarchically create cetroids in a way that loosely mimics the way humans understand things.
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:
