Combining estimators to improve performance
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TL;DR
This tutorial will describe an interdisciplinary collection of powerful model combination methods including bundling, bagging, boosting, and Bayesian model averaging and briefly demonstrate their positive effects on scientific, medical, and marketing case studies.
Abstract
Article Free Access Share on Combining estimators to improve performance Authors: John Elder Data Mining, Charlottesville, Virginia Data Mining, Charlottesville, VirginiaView Profile , Greg Ridgeway University of Washington University of WashingtonView Profile Authors Info & Claims KDD '99: Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data miningAugust 1999 Pages 237–265https://doi.org/10.1145/312179.312194Online:01 August 1999Publication History 1citation699DownloadsMetricsTotal Citations1Total Downloads699Last 12 Months6Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF