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IIE Transactions Volume 46, 2014 - Issue 5: Quality & Reliablity Engineering
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ORIGINAL ARTICLES

Preimages for variation patterns from kernel PCA and bagging

Amit Shinde School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA
,
Anshuman Sahu School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA
,
Daniel Apley School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA
&
George Runger Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, 60208, USA
Pages 429-456 | Received 01 Oct 2012, Accepted 01 Jun 2013, Published online: 05 Feb 2014

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Hyunsung Kim & Yaeji Lim. (2022) Bootstrap aggregated classification for sparse functional data. Journal of Applied Statistics 49:8, pages 2052-2063.
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Phillip Howard, Daniel W. Apley & George Runger. (2018) Identifying nonlinear variation patterns with deep autoencoders. IISE Transactions 50:12, pages 1089-1103.
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Abhijith Anandakrishnan & Sarith P Sathian. (2023) A data driven approach to model thermal boundary resistance from molecular dynamics simulations. Physical Chemistry Chemical Physics 25:4, pages 3258-3269.
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Reza Jalil Mozhdehi & Henry Medeiros. (2022) Deep convolutional correlation iterative particle filter for visual tracking. Computer Vision and Image Understanding 222, pages 103479.
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Yuting Li, Jianhua Feng, Teng Zhang, Kexin Shi, Yao Ding, Xiaohui Zhang, Chentao Jin, Jiayue Pan, Le Xue, Yi Liao, Xiawan Wang, Cheng Zhuo, Hong Zhang & Mei Tian. (2021) Brain metabolic characteristics distinguishing typical and atypical benign epilepsy with centro-temporal spikes. European Radiology 31:12, pages 9335-9345.
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Nailah Afshan & Ranjeet Kumar Rout. 2021. Big Data Analytics for Internet of Things. Big Data Analytics for Internet of Things 89 113 .
Alex Adim Obinikpo & Burak Kantarci. (2019) Big data aggregation in the case of heterogeneity: a feasibility study for digital health. International Journal of Machine Learning and Cybernetics 10:10, pages 2643-2655.
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Anh Tuan Bui, Joon-Ku Im, Daniel W. Apley & George C. Runger. (2019) Projection-free kernel principal component analysis for denoising. Neurocomputing 357, pages 163-176.
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Bingqiang Liu, Ling Han, Xiangrong Liu, Jichang Wu & Qin Ma. (2019) Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies. IEEE/ACM Transactions on Computational Biology and Bioinformatics 16:4, pages 1211-1218.
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Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam Barnaghi & Amit P. Sheth. (2018) Machine learning for internet of things data analysis: a survey. Digital Communications and Networks 4:3, pages 161-175.
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Zhengye Chen. (2018) The Application of Tree-based model to Unbalanced German Credit Data Analysis. MATEC Web of Conferences 232, pages 01005.
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Anshuman Sahu, Daniel W. Apley & George C. Runger. (2014) Feature selection for noisy variation patterns using kernel principal component analysis. Knowledge-Based Systems 72, pages 37-47.
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Tshilidzi MarwalaTshilidzi Marwala. 2014. Artificial Intelligence Techniques for Rational Decision Making. Artificial Intelligence Techniques for Rational Decision Making 131 150 .

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