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Optimal classification trees with leaf-branch and binary constraints

Liu, Enhao; Hu, Tengmu; Allen, Theodore T.; Hermes, … - In: Computers & operations research : an international journal 166 (2024), pp. 1-16

Persistent link: https://www.econbiz.de/10014564992

An improved column-generation-based matheuristic for learning classification trees

Patel, Krunal Kishor; Desaulniers, Guy; Lodi, Andrea - In: Computers & operations research : an international journal 165 (2024), pp. 1-12

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Revisiting column-generation-based matheuristic for learning classification trees

Patel, Krunal Kishor; Desaulniers, Guy; Lodi, Andrea - 2023

Persistent link: https://www.econbiz.de/10014368425

Iterative rule extension for logic analysis of data : an MILP-based heuristic to derive interpretable binary classifiers from large data sets

Balvert, Marleen - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 3, pp. 723-741

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A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21

machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision … exhaustively reviewed and researched in all aspects qualitatively and quantitatively, wherein the LSTM network and SVM algorithm …

Persistent link: https://www.econbiz.de/10013339256