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Rule Covering for Interpretation and Boosting

Autor: Birbil, S. Ilker, Edali, Mert, Yuceoglu, Birol

We propose two algorithms for interpretation and boosting of tree-based ensemble methods. Both algorithms make use of mathematical programming models that are constructed with a set of rules extracted from an ensemble of decision trees. The objective

Externí odkaz: http://arxiv.org/abs/2007.06379

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Impact of post-incarceration care engagement interventions on HIV transmission among young Black men who have sex with men and their sexual partners: an agent-based network modeling study

Autor: Hotton, Anna L., Lee, Francis, Sheeler, Daniel, Ozik, Jonathan, Collier, Nicholson, Edali, Mert, Ardestani, Babak Mahdavi, Brewer, Russell, Schrode, Katrina M., Fujimoto, Kayo, Harawa, Nina T., Schneider, John A., Khanna, Aditya S.

Publikováno v: In The Lancet Regional Health - Americas December 2023 28

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Using linear regression metamodels for evaluating interventions in an individual-based influenza epidemic model

Autor: Edali, Mert

Publikováno v: In Simulation Modelling Practice and Theory July 2023 126

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Exploring the behavior space of agent-based simulation models using random forest metamodels and sequential sampling

Autor: Edali, Mert, Yücel, Gönenç

Publikováno v: In Simulation Modelling Practice and Theory April 2019 92:62-81

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Performance analysis of set partitioning formulations on the rule extraction from random forests.

Autor: EDALI, Mert^1,2 edali@uchicago.edu

Publikováno v: Pamukkale University Journal of Engineering Sciences. 2021, Vol. 27 Issue 4, p513-519. 7p.

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Analysis of an individual‐based influenza epidemic model using random forest metamodels and adaptive sequential sampling.

Autor: Edali, Mert^1,2,3,4 medali@yildiz.edu.tr, Yücel, Gönenç¹

Publikováno v: Systems Research & Behavioral Science. Nov2020, Vol. 37 Issue 6, p936-958. 23p.

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Comparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem

Autor: GÜLSÜN, Bahadır, MİÇ, Pınar, EDALI, Mert

Publikováno v: Volume: 40, Issue: 1 63-78
Sigma Journal of Engineering and Natural Sciences

Facility layout planning is an indispensable part of the manufacturing and service operations. In the literature, there are two main different approaches for the solution of facility layout problem: While the first one aims to minimize both total tra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::6dd1524d03bc0f5db3f452a115329545
https://dergipark.org.tr/tr/pub/sigma/issue/69068/1093151

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Performance analysis of set partitioning formulations on the rule extraction from random forests

Autor: EDALI, Mert

Publikováno v: Volume: 27, Issue: 4 513-519
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Rastgele Ormanlar farklı alanlardaki sınıflandırma ve regresyon problemleri için sıklıkla kullanılan bir yapay öğrenme algoritmasıdır. Yüksek başarım göstermelerine rağmen, yapıtaşları olan karar ağaçlarına kıyasla yorumlanabi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::0d77200a168983e52f3ccc5277ab4549
https://dergipark.org.tr/tr/pub/pajes/issue/64540/984920

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