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Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization.

, , and . ICIP, page 424-428. IEEE, (2021)

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Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison., , , and . IJCNN, page 1-8. IEEE, (2021)Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large., , and . EMNLP (1), page 10730-10745. Association for Computational Linguistics, (2021)Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees., and . CVPR, page 285-294. IEEE, (2022)Selecting Algorithms Without Meta-features., , , , , , and . ICPR Workshops (4), volume 12664 of Lecture Notes in Computer Science, page 607-621. Springer, (2020)Optimal Interpretable Clustering Using Oblique Decision Trees., and . KDD, page 400-410. ACM, (2022)On Approximating Metric Nearness Through Deep Learning., , , and . ICAISC (1), volume 11508 of Lecture Notes in Computer Science, page 62-72. Springer, (2019)Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees., , and . IJCNN, page 1-8. IEEE, (2022)Towards Better Decision Forests: Forest Alternating Optimization., , and . CVPR, page 7589-7598. IEEE, (2023)Improved Boosted Regression Forests Through Non-Greedy Tree Optimization., , and . IJCNN, page 1-8. IEEE, (2021)Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization., , and . ICIP, page 424-428. IEEE, (2021)