3 papers
cs.LG2025
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
Clément Elliker, Jesse Read, Sonia Vanier +1
Reliable prediction of train delays is essential for enhancing the robustness and efficiency of railway transportation systems. In this work, we reframe delay forecasting as a stoc…
cs.LG2025
Binary Split Categorical feature with Mean Absolute Error Criteria in CART
Peng Yu, Yike Chen, Chao Xu +2
In the context of the Classification and Regression Trees (CART) algorithm, the efficient splitting of categorical features using standard criteria like GINI and Entropy is well-es…
cs.LG2025
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*
Ayman Chaouki, Jesse Read, Albert Bifet
Decision Tree (DT) Learning is a fundamental problem in Interpretable Machine Learning, yet it poses a formidable optimisation challenge. Practical algorithms have recently emerged…