Results 161 to 170 of about 1,296,537 (338)
Optimizing Interpretable Decision Tree Policies for Reinforcement Learning [PDF]
Reinforcement learning techniques leveraging deep learning have made tremendous progress in recent years. However, the complexity of neural networks prevents practitioners from understanding their behavior. Decision trees have gained increased attention in supervised learning for their inherent interpretability, enabling modelers to understand the ...
arxiv
Learning kμ decision trees on the uniform distribution [PDF]
Thomas R. Hancock
openalex +1 more source
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider+4 more
wiley +1 more source
Zero-Shot Decision Tree Construction via Large Language Models [PDF]
This paper introduces a novel algorithm for constructing decision trees using large language models (LLMs) in a zero-shot manner based on Classification and Regression Trees (CART) principles. Traditional decision tree induction methods rely heavily on labeled data to recursively partition data using criteria such as information gain or the Gini index.
arxiv
Simulating medical decision trees with random variable parameters [PDF]
Robert S. Dittus, Robert W. Klein
openalex +1 more source
Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern+3 more
wiley +1 more source
Quantum computation and decision trees [PDF]
Edward Farhi, Sam Gutmann
openalex +1 more source
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling+7 more
wiley +1 more source
High-Speed Processing of the Multispectral Images by Means of Binary Decision Tree
Minoru Inamura+4 more
openalex +2 more sources