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Suneel Babu Chatla & Galit Shmueli. (2020) A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution. Journal of Computational and Graphical Statistics 29:4, pages 827-846.
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Mehdi Imani & Hamid Reza Arabnia. (2023) Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis. Technologies 11:6, pages 167.
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Eugene H. Blackstone, Gösta B. Pettersson, Amol Pande, Marc Gillinov, Faisal G. Bakaeen, Kenneth R. McCurry, Eric E. Roselli, Nicholas G. Smedira, Edward G. Soltesz, Michael Tong, Shinya Unai, Jeevanantham Rajeswaran, Jules Joel Bakhos & Lars G. Svensson. (2023) Increasing surgeon experience and cumulative institutional experience drive decreasing hospital mortality after reoperative cardiac surgery. The Journal of Thoracic and Cardiovascular Surgery.
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Ganlin Cheng, Chong Xiang, Fei Guo, Xiaohao Wen & Xiaohong Jia. (2023) Prediction of the tribological properties of a polymer surface in a wide temperature range using machine learning algorithm based on friction noise. Tribology International 180, pages 108213.
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Yichen Zhou & Giles Hooker. (2022) Decision tree boosted varying coefficient models. Data Mining and Knowledge Discovery 36:6, pages 2237-2271.
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Aakansha Gupta & Rahul Katarya. (2021) PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning. Computers in Biology and Medicine 138, pages 104920.
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Yue Li, Xiaoyu Wang, Jingzhou Pang & Anding Zhu. (2021) Boosted Model Tree-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers. IEEE Transactions on Microwave Theory and Techniques 69:9, pages 3976-3988.
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Rakheon Kim, Samuel Müller & Tanya P. Garcia. (2021) svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups. Biometrical Journal 63:6, pages 1254-1271.
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Qinghua Tao, Zhen Li, Jun Xu, Na Xie, Shuning Wang & Johan A.K. Suykens. (2021) Learning with continuous piecewise linear decision trees. Expert Systems with Applications 168, pages 114214.
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Moritz Berger, Gerhard Tutz & Matthias Schmid. (2018) Tree-structured modelling of varying coefficients. Statistics and Computing 29:2, pages 217-229.
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Eva Ascarza, Scott A. Neslin, Oded Netzer, Zachery Anderson, Peter S. Fader, Sunil Gupta, Bruce G. S. Hardie, Aurélie Lemmens, Barak Libai, David Neal, Foster Provost & Rom Schrift. (2017) In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions. Customer Needs and Solutions 5:1-2, pages 65-81.
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Olga Gorskikh, Pekka Malo & Pauliina Ilmonen. (2017) Nonparametric Splitting Algorithm for Detecting Structural Changes in Predictive Relationships. Nonparametric Splitting Algorithm for Detecting Structural Changes in Predictive Relationships.
Olga Gorskikh. 2016. Advances in Data Mining. Applications and Theoretical Aspects. Advances in Data Mining. Applications and Theoretical Aspects
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419
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Reto Bürgin & Gilbert Ritschard. (2015) Tree-based varying coefficient regression for longitudinal ordinal responses. Computational Statistics & Data Analysis 86, pages 65-80.
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Eva Ascarza, Scott Neslin, Sunil Gupta, Aurelie Lemmens, Barak Libai, Foster Provost & Rom Y. Schrift. (2017) In Pursuit of Enhanced Customer Retention Management. SSRN Electronic Journal.
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