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1. VLTimeSeriesCausalityVLTimeSeriesCausalityPublic

   A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.

   R 72 11

2. mFLICAmFLICAPublic

   Given a set of time series of individual activities, our goal is to identify periods of coordinated activity, find factions of coordination if more than one exist, as well as identify leaders of ea…

   R 5 5

3. EDOIFEDOIFPublic

   EDOIF is a nonparametric framework based on estimation statistics principle. Its main purpose is to infer orders of empirical distributions from different categories base on a probability of findin…

   R 1

4. MRRegMRRegPublic

   The framework for finding multiresolution partitions that have homogeneous linear models from multiresolution dataset.

   R 2

5. BiCausalityBiCausalityPublic

   A framework to infer causality on binary data using techniques in frequent pattern mining and estimation statistics. Given a set of individual vectors S={x} where x(i) is a realization value of bin…

   R 2 1

6. TCognitiveProjectTCognitiveProjectPublic

   Trajectory Cognition (TCog) is an experimental framework for turning static knowledge into an active, frame-aware cognitive architecture. Instead of treating AI reasoning as isolated query-response…

   JavaScript 2