[HTML][HTML] Comparative study of multiple algorithms classification for land use and land cover change detection and its impact on local climate of Mardan district …
N Nuthammachot, MZ Ali - Environmental Challenges, 2025 - Elsevier
Land use and land cover (LULC) changes significantly impact global climate change,
resource management, and sustainability. This study aims to evaluate the performance of …
resource management, and sustainability. This study aims to evaluate the performance of …
Learning Small Decision Trees With Few Outliers: A Parameterized Perspective
H Gahlawat, M Zehavi - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
Decision trees is a fundamental tool in machine learning for representing, classifying, and
generalizing data. It is desirable to construct``small''decision trees, by minimizing either the …
generalizing data. It is desirable to construct``small''decision trees, by minimizing either the …
A General Theoretical Framework for Learning Smallest Interpretable Models
We develop a general algorithmic framework that allows us to obtain fixed-parameter
tractability for computing smallest symbolic models that represent given data. Our framework …
tractability for computing smallest symbolic models that represent given data. Our framework …
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees
LP Staus, C Komusiewicz, F Sommer… - arXiv preprint arXiv …, 2024 - arxiv.org
Decision trees are a classic model for summarizing and classifying data. To enhance
interpretability and generalization properties, it has been proposed to favor small decision …
interpretability and generalization properties, it has been proposed to favor small decision …