Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling
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 …
challenges in engineering applications: 1) Sensitivity to perturbations and lack of …
A Nash equilibria decision tree for binary classification
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 …
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
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 …
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 …
variable increases or decreases in relation to one or more attributes or features. These …