" The purpose of this document is to compare HTMs with several existing technologies for modeling data. HTMs use a unique combination of the following ideas:
* A hierarchy in space and time to share and transfer learning * Slowness of time, which, combined with the hierarchy, enables efficient learning of intermediate levels of the hierarchy * Learning of causes by using time continuity and actions * Models of attention and specific memories * A probabilistic model specified in terms of relations between a hierarchy of causes * Belief Propagation in the hierarchy to use temporal and spatial context for inference
Many of these ideas existed before HTMs and have been part of some of the models we describe below. The power of HTM comes from a unique synthesis of these ideas. "
Slashdot Mirror
http://www.numenta.com/for-developers/education/HT M_Comparison.pdf
"
The purpose of this document is to compare HTMs with several existing technologies for modeling
data. HTMs use a unique combination of the following ideas:
* A hierarchy in space and time to share and transfer learning
* Slowness of time, which, combined with the hierarchy, enables efficient learning of intermediate levels of the hierarchy
* Learning of causes by using time continuity and actions
* Models of attention and specific memories
* A probabilistic model specified in terms of relations between a hierarchy of causes
* Belief Propagation in the hierarchy to use temporal and spatial context for inference
Many of these ideas existed before HTMs and have been part of some of the models we describe below. The power of HTM comes from a unique synthesis of these ideas. "