Abstract
Article Free Access Share on On the boosting ability of top-down decision tree learning algorithms Authors: Michael Kearns AT&T Research AT&T ResearchView Profile , Yishay Mansour Tel-Aviv University Tel-Aviv UniversityView Profile Authors Info & Claims STOC '96: Proceedings of the twenty-eighth annual ACM symposium on Theory of ComputingJuly 1996Pages 459–468https://doi.org/10.1145/237814.237994Published:01 July 1996Publication History 63citation947DownloadsMetricsTotal Citations63Total Downloads947Last 12 Months150Last 6 weeks20 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 Publisher SiteeReaderPDF
Keywords
Boosting (machine learning)Tel avivCitationDecision treeComputer scienceAlgorithmMachine learningArtificial intelligenceWorld Wide WebLibrary science
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Publication Info
- Year
- 1996
- Type
- article
- Pages
- 459-468
- Citations
- 118
- Access
- Closed
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Cite This
Michael Kearns,
Yishay Mansour
(1996).
On the boosting ability of top-down decision tree learning algorithms.
, 459-468.
https://doi.org/10.1145/237814.237994
Identifiers
- DOI
- 10.1145/237814.237994