GraphIDyOM is a validated graph-native Python reimplementation of IDyOM that reproduces Lisp reference outputs with mean information-content differences below 0.003 bits and exposes predictive memories as graphs.
On the complex network structure of musical pieces: analysis of some use cases from different music genres.Multimedia Tools and Applications, 77:16003–16029, 2018
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GraphIDyOM: A graph-native Python reimplementation of IDyOM for musical expectation modelling
GraphIDyOM is a validated graph-native Python reimplementation of IDyOM that reproduces Lisp reference outputs with mean information-content differences below 0.003 bits and exposes predictive memories as graphs.