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A Closer Look at the Kernels Generated by the Decision and Regression Tree Ensembles.

• Authors : Dai Feng¹; Baumgartner, Richard²

• Source: Statistics in Biopharmaceutical Research. Oct-Dec2023, Vol. 15 Issue 4, p716-725. 10p.

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Multiple Instance Learning with Trainable Soft Decision Tree Ensembles.

• Authors : Konstantinov, Andrei¹ (AUTHOR); Utkin, Lev¹ (AUTHOR); Muliukha, Vladimir¹ (AUTHOR)

• Source: Algorithms. Aug2023, Vol. 16 Issue 8, p358. 16p.

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Privacy-preserving training of tree ensembles over continuous data

• Authors : Adams, Samuel; Choudhary, Chaitali; Cock, Martine de ...

Subjects: Machine Learning; Privacy; Secure MultiParty Computation

• Source: Adams , S , Choudhary , C , Cock , M D , Baiao Dowsley , R , Melanson , D , Nascimento , A C A , Railsback , D & Shen , J 2022 , Privacy-preserving training of tree

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Formal Verification of Input-Output Mappings of Tree Ensembles

• Authors : Törnblom, John, 1984; Nadjm-Tehrani, Simin, 1958

Subjects: Formal verification; Decision tree; Tree ensemble

• Source: Science of Computer Programming. 194

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Privacy-Preserving Training of Tree Ensembles over Continuous Data

• Authors : Samuel Adams; Chaitali Choudhary; Martine de Cock

Subjects: FOS: Computer and information sciences; Decision Tree Ensembles; Computer Science - Machine Learning

• Source: PROCEEDINGS ON PRIVACY ENHANCING TECHNOLOGIES

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Understanding Variable Effects from Black Box Prediction: Quantifying Effects in Tree Ensembles Using Partial Dependence

• Authors : Guy Cafri; Barbara A. Bailey

Subjects: Tree (data structure); Variable (computer science); Black box

• Source: Journal of Data Science. 14:67-96

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Optimization of Tree Ensembles

• Authors : Velibor V. Mišić

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Mathematical optimization

• Source: Operations Research. 68:1605-1624

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Interpreting tree ensembles with inTrees

• Authors : Houtao Deng

Subjects: FOS: Computer and information sciences; 0301 basic medicine; Computer science

• Source: International Journal of Data Science and Analytics. 7:277-287

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Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity

• Authors : Antonio R. Linero; Yun Yang

Subjects: Statistics and Probability; business.industry; Posterior probability

• Source: Journal of the Royal Statistical Society Series B: Statistical Methodology. 80:1087-1110

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Privacy-preserving scoring of tree ensembles : a novel framework for AI in healthcare

• Authors : Fritchman, Kyle; Saminathan, Keerthanaa; Dowsley, Rafael ...

Subjects: Medicine and Health Sciences; Technology and Engineering; UNCONDITIONALLY SECURE

• Source: 2018 IEEE International conference on Big Data (Big Data 2018) ; ISSN: 2639-1589 ; ISBN: 9781538650356

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