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Maximum likelihood / Hájek–Le Cam convolution theorem / Logic / Estimation theory / Entailment


JMLR: Workshop and Conference Proceedings vol[removed]–15 New Bounds for Learning Intervals with Implications for Semi-Supervised Learning David P. Helmbold
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Document Date: 2013-08-07 12:05:40

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File Size: 341,26 KB

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Company

NEC Labs America / /

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Facility

University of California / /

IndustryTerm

maximum-margin-in-probability algorithm / prediction algorithm / particular algorithm / maximum margin algorithm / learning algorithm / /

Organization

Department of Computer Science / University of California at Santa Cruz / /

Person

David P. Helmbold / Semi-Supervised Learning David / Philip M. Long / /

Position

Prime Minister / /

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R / D / L / /

ProvinceOrState

California / /

Technology

prediction algorithm / learning algorithm / machine learning / particular algorithm / same algorithm / D-weighted halving algorithm / following maximum margin algorithm / maximum-margin-in-probability algorithm / maximum margin algorithm / /

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