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2 results for pattern-driven

A novel framework infers causal direction from symbolic sequences using pattern entropy.

problem Challenges in discovering causal direction from temporal symbolic data.
method Dictionary Based Pattern Entropy (DPEDPE) framework integrating AIT and Shannon Information Theory.
result Minimizing pattern level uncertainty yields a robust framework for causal discovery.