Conceptual views on tree ensemble classifiers

DOI10.1016/j.ijar.2023.108930arXiv2302.05270OpenAlexW4375853161MaRDI QIDQ6116526

Tom Hanika, Johannes Hirth

Publication date: 18 July 2023

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2302.05270

zbMATH Keywords

explanationdecision treeformal concept analysisrandom forestensemble classificationexplainable AI

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Scaling dimension ⋮ Description quivers for compact representation of concept lattices and ensembles of decision trees

Cites Work

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• Decision concept lattice vs. decision trees and random forests
• Knowledge cores in large formal contexts
• On interestingness measures of formal concepts
• Impact of Boolean factorization as preprocessing methods for classification of Boolean data
• Graph-based representation and reasoning. 24th international conference on conceptual structures, ICCS 2019, Marburg, Germany, July 1--4, 2019. Proceedings
• Attribute selection using contranominal scales
• CHARACTERIZING TREES IN CONCEPT LATTICES
• Computing iceberg concept lattices with Titanic
• Random forests
• Stochastic gradient boosting.

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