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The American Statistician Volume 62, 2008 - Issue 2
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Primary Article

Kernels and Ensembles

Perspectives on Statistical Learning

Mu Zhu Mu Zhu is Associate Professor, Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 .
Pages 97-109 | Published online: 01 Jan 2012

Citations (24)

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Read on this site (2)

Lu Xin & Mu Zhu. (2012) Stochastic Stepwise Ensembles for Variable Selection. Journal of Computational and Graphical Statistics 21:2, pages 275-294.
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Mu Zhu & Guangzhe Fan. (2011) Variable selection by ensembles for the Cox model. Journal of Statistical Computation and Simulation 81:12, pages 1983-1992.
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Articles from other publishers (22)

Saman Baharvand, Reza Rezaei, Nasser Talebbeydokhti, Roohollah Nasiri & Seyed Mehrab Amiri. (2022) Investigation of Energy Dissipation Rate of Stepped Vertical Overfall (SVO) Spillway Using Physical Modeling and Soft Computing Techniques. KSCE Journal of Civil Engineering 26:12, pages 5067-5081.
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Arwin Halim, Erick Kwantan, Silfi Langie, Vinson Chandra & Hernawati Gohzali. (2020) Human Activity Recognition using Reduced Kernel Extreme Learning Machine for Body Weight Management. Human Activity Recognition using Reduced Kernel Extreme Learning Machine for Body Weight Management.
Meylani Utari, Budi Warsito & Retno Kusumaningrum. (2020) Implementation of Data Mining for Drop-Out Prediction using Random Forest Method. Implementation of Data Mining for Drop-Out Prediction using Random Forest Method.
Ronald ChristensenRonald Christensen. 2020. Plane Answers to Complex Questions. Plane Answers to Complex Questions 393 417 .
D. FRANK HSU, BRUCE S. KRISTAL, YUHAN HAO & CHRISTINA SCHWEIKERT. (2019) Cognitive Diversity: A Measurement of Dissimilarity Between Multiple Scoring Systems. Journal of Interconnection Networks 19:01, pages 1940001.
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Ronald ChristensenRonald Christensen. 2019. Advanced Linear Modeling. Advanced Linear Modeling 87 123 .
Ronald ChristensenRonald Christensen. 2019. Advanced Linear Modeling. Advanced Linear Modeling 503 531 .
Lynford Graham, Jean C. Bedard & Saurav Dutta. (2018) Managing group audit risk in a multicomponent audit setting. International Journal of Auditing 22:1, pages 40-54.
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Hongchao Ma, Zhan Cai & Liang Zhang. (2018) Comparison of the filtering models for airborne LiDAR data by three classifiers with exploration on model transfer. Journal of Applied Remote Sensing 12:01, pages 1.
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Zheng Yuefeng, Du Huishi, Zhang Guijie & Gan Jing. (2017) Research on the course discrimination based on multi-classification method and feature selection. Research on the course discrimination based on multi-classification method and feature selection.
Lu Cheng, Mu Zhu, Jeffrey W. Poss, John P. Hirdes, Christine Glenny & Paul Stolee. (2015) Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms. BMC Medical Informatics and Decision Making 15:1.
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Amir Ahmad. (2014) Decision tree ensembles based on kernel features. Applied Intelligence 41:3, pages 855-869.
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Mu Zhu, Lu Cheng, Joshua J. Armstrong, Jeff W. Poss, John P. Hirdes & Paul Stolee. 2014. Machine Learning in Healthcare Informatics. Machine Learning in Healthcare Informatics 181 207 .
Dong-Yop Oh & J. Brian Gray. (2013) GA-Ensemble: a genetic algorithm for robust ensembles. Computational Statistics 28:5, pages 2333-2347.
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Shengkun Xie, Anna T. Lawniczak & Sridhar Krishnan. 2013. Advances in Neural Networks – ISNN 2013. Advances in Neural Networks – ISNN 2013 273 282 .
S. Stanley Young, Fei Yuan & Mu Zhu. (2012) Chemical Descriptors Are More Important Than Learning Algorithms for Modelling. Molecular Informatics 31:10, pages 707-710.
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Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan & Pietro Lio. (2012) Wavelet Kernel Principal Component Analysis in Noisy Multiscale Data Classification. ISRN Computational Mathematics 2012, pages 1-13.
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Christine Porzelius, Martin Schumacher & Harald Binder. (2011) The benefit of data-based model complexity selection via prediction error curves in time-to-event data. Computational Statistics 26:2, pages 293-302.
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Li Guo, Nesrine Chehata, Clément Mallet & Samia Boukir. (2011) Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests. ISPRS Journal of Photogrammetry and Remote Sensing 66:1, pages 56-66.
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Matthew R. Kunz, Joshua Ottaway, John H. Kalivas & Erik Andries. (2010) Impact of standardization sample design on Tikhonov regularization variants for spectroscopic calibration maintenance and transfer. Journal of Chemometrics 24:3-4, pages 218-229.
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John H. KalivasGabriel G. SianoErik AndriesHector C. Goicoechea. (2009) Calibration Maintenance and Transfer Using Tikhonov Regularization Approaches. Applied Spectroscopy 63:7, pages 800-809.
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Alexandra Laflamme-Sanders & Mu Zhu. (2008) LAGO on the unit sphere. Neural Networks 21:9, pages 1220-1223.
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