Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling

S Zhang, X Chen, X Ran, Z Li, W Cao - Engineering Applications of …, 2024 - Elsevier
As a popular machine learning model, decision trees classify and generalize well, but face
challenges in engineering applications: 1) Sensitivity to perturbations and lack of …

A Nash equilibria decision tree for binary classification

MA Suciu, RI Lung - Applied Intelligence, 2025 - Springer
Decision trees rank among the most popular and efficient classification methods. They are
used to represent rules for recursively partitioning the data space into regions from which …

Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series

R Huang, S Yang, H Koeppl - arXiv preprint arXiv:2402.18995, 2024 - arxiv.org
Modeling count-valued time series has been receiving increasing attention since count time
series naturally arise in physical and social domains. Poisson gamma dynamical systems …

[PDF][PDF] Monotone Oblique Decision Trees

MA Sadawi - 2023 - studenttheses.uu.nl
In many data analysis applications, it is often reasonable to assume that the response
variable increases or decreases in relation to one or more attributes or features. These …

[引用][C] Deep Generative Models: Pitfalls and Fixes