Discovery of fully efficient fault indicators along a data-based diagnosis process

arXiv:2609.28087 · cs.AI, cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Comments: Submission accepted to IFAC WC 2026 (waiting for publication)

Journal ref: 23rd IFAC World Congress (IFAC World Congress 2026), Aug 2026, Busan, South Korea

Code: https://github.com/Igor-Bzk/DT4X

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 13× in this paper · explained in 1 episode
• Symbolic Regression — 10× in this paper · explained in 5 episodes
• Interpretability — 9× in this paper · explained in 15 episodes
• Redundancy — 5× in this paper · explained in 2 episodes
• Loss Function — 4× in this paper · explained in 2 episodes
• RAG — 4× in this paper · explained in 3 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Neural Decision Trees
• CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits

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