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Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization., и . NeurIPS, (2022)Ensembles of Bagged TAO Trees Consistently Improve over Random Forests, AdaBoost and Gradient Boosting., и . FODS, стр. 35-46. ACM, (2020)Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees., , и . IJCNN, стр. 1-8. IEEE, (2022)A Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A Sparse Oblique Decision Tree., и . ICIP, стр. 369-373. IEEE, (2021)Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison., , , и . IJCNN, стр. 1-8. IEEE, (2021)Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets., , и . ICML, OpenReview.net, (2024)GenCO: Generating Diverse Designs with Combinatorial Constraints., , , , и . ICML, OpenReview.net, (2024)Towards Better Decision Forests: Forest Alternating Optimization., , и . CVPR, стр. 7589-7598. IEEE, (2023)Improved Boosted Regression Forests Through Non-Greedy Tree Optimization., , и . IJCNN, стр. 1-8. IEEE, (2021)Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization., , и . ICIP, стр. 424-428. IEEE, (2021)