A sequential algorithm for training text classifiers
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TL;DR
A bug in my experimental software caused the relevance sampling results reported in the SIGIR '94 paper to be incorrect, and this note presents the corrected results, along with additional data supporting the original claim that uncertainty sampling has an advantage over relevance sampling in most training situations.
Abstract
article Free Access Share on A sequential algorithm for training text classifiers: corrigendum and additional data Author: David D. Lewis AT&T Bell Laboratories, Murray Hill, NJ AT&T Bell Laboratories, Murray Hill, NJView Profile Authors Info & Claims ACM SIGIR ForumVolume 29Issue 2Fall 1995 pp 13–19https://doi.org/10.1145/219587.219592Published:01 September 1995Publication History 69citation995DownloadsMetricsTotal Citations69Total Downloads995Last 12 Months437Last 6 weeks74 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