3 papers
cs.LG2026
A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps
Parth Naik, Harikrishnan N B
We propose a novel classification framework grounded in symbolic dynamics and data compression using chaotic maps. The core idea is to model each class by generating symbolic seque…
stat.ML2026
Dictionary Based Pattern Entropy for Causal Direction Discovery
Harikrishnan N B, Shubham Bhilare, Aditi Kathpalia +1
Discovering causal direction from temporal observational data is particularly challenging for symbolic sequences, where functional models and noise assumptions are often unavailabl…
cs.LG2025
Chaotic Map based Compression Approach to Classification
Harikrishnan N B, Anuja Vats, Nithin Nagaraj +1
Modern machine learning approaches often prioritize performance at the cost of increased complexity, computational demands, and reduced interpretability. This paper introduces a no…