Aggregating classifiers with mathematical programming
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Vermunt, Jeroen K. & Magidson, Jay, 2003. "Latent class models for classification," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 531-537, January.
- Buttrey, Samuel E. & Karo, Ciril, 2002. "Using k-nearest-neighbor classification in the leaves of a tree," Computational Statistics & Data Analysis, Elsevier, vol. 40(1), pages 27-37, July.
- Bose, Smarajit, 2003. "Multilayer statistical classifiers," Computational Statistics & Data Analysis, Elsevier, vol. 42(4), pages 685-701, April.
- Willy Gochet & Antonie Stam & V. Srinivasan & Shaoxiang Chen, 1997. "Multigroup Discriminant Analysis Using Linear Programming," Operations Research, INFORMS, vol. 45(2), pages 213-225, April.
- Fodor, Imola K. & Kamath, Chandrika, 2002. "Dimension reduction techniques and the classification of bent double galaxies," Computational Statistics & Data Analysis, Elsevier, vol. 41(1), pages 91-122, November.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Zhang, Chun-Xia & Zhang, Jiang-She & Zhang, Gai-Ying, 2009. "Using Boosting to prune Double-Bagging ensembles," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1218-1231, February.
- Rokach, Lior, 2009. "Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4046-4072, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Shelley H. Liu & Yitong Chen & Jordan R. Kuiper & Emily Ho & Jessie P. Buckley & Leah Feuerstahler, 2024. "Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 482-502, July.
- Vermunt, Jeroen K., 2007. "A hierarchical mixture model for clustering three-way data sets," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5368-5376, July.
- Monica Pratesi & Claudio Ceccarelli & Stefano Menghinello, 2021. "Citizen-Generated Data and Official Statistics: an application to SDG indicators," Discussion Papers 2021/274, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
- Stanislav Avsec, 2023. "Design Thinking to Envision More Sustainable Technology-Enhanced Teaching for Effective Knowledge Transfer," Sustainability, MDPI, vol. 15(2), pages 1-26, January.
- DÃaz, Estrella & MartÃn-Consuegra, David, 2016. "A latent class segmentation analysis of airlines based on website evaluation," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 20-40.
- Maaz Gardezi & J. Gordon Arbuckle, 2019. "Spatially Representing Vulnerability to Extreme Rain Events Using Midwestern Farmers’ Objective and Perceived Attributes of Adaptive Capacity," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 17-34, January.
- Roe, R.A. & Smeelen, M. & Hoefeld, C., 2005. "Outsourcing and organizational change : an employee perspective," Research Memorandum 045, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Bolger, Michelle A., 2018. "Predicting arrest probability across time: An exploration of competing risk perspectives," Journal of Criminal Justice, Elsevier, vol. 59(C), pages 92-109.
- Zopounidis, Constantin & Doumpos, Michael, 2002. "Multicriteria classification and sorting methods: A literature review," European Journal of Operational Research, Elsevier, vol. 138(2), pages 229-246, April.
- Caspar G Chorus, 2018. "Paving the way towards superstar destinations: Models of convex demand for quality," Environment and Planning B, , vol. 45(1), pages 161-179, January.
- Fok, Dennis & Paap, Richard & Franses, Philip Hans, 2012.
"Modeling dynamic effects of promotion on interpurchase times,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3055-3069.
- Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2002. "Modeling dynamic effects of promotion on interpurchase times," Econometric Institute Research Papers EI 2002-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
- Silvia Cagnone & Cinzia Viroli, 2018. "Multivariate latent variable transition models of longitudinal mixed data: an analysis on alcohol use disorder," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(5), pages 1399-1418, November.
- Doumpos, Michael & Zopounidis, Constantin, 2004. "A multicriteria classification approach based on pairwise comparisons," European Journal of Operational Research, Elsevier, vol. 158(2), pages 378-389, October.
- Skreli, Engjell & Imami, Drini, 2012. "Analyzing Consumers’ Preferences for Apple Attributes in Tirana, Albania," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(4), pages 1-20, November.
- Chen, Wendy Y. & Hua, Junyi, 2017. "Heterogeneity in resident perceptions of a bio-cultural heritage in Hong Kong: A latent class factor analysis," Ecosystem Services, Elsevier, vol. 24(C), pages 170-179.
- Rokach, Lior, 2009. "Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4046-4072, October.
- Gioacchino Fazio & Francesca Giambona & Erasmo Vassallo & Elli Vassiliadis, 2018. "A Measure of Trust: The Italian Regional Divide in a Latent Class Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 209-242, November.
- Silvia Cagnone & Cinzia Viroli, 2014. "A factor mixture model for analyzing heterogeneity and cognitive structure of dementia," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(1), pages 1-20, January.
- Valenzuela, Marcus A. & Flinchbaugh, Carol & Rogers, Sean Edmund, 2020. "Can organizations help adjust?: The effect of perceived organizational climate on immigrants' acculturation and consequent effect on perceived fit," Journal of International Management, Elsevier, vol. 26(3).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:47:y:2004:i:4:p:791-807. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.