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Volumn 7881, Issue , 2011, Pages

Know your data: Understanding implicit usage versus explicit action in video content classification

Author keywords

Categorization; Classification; Naive Bayes; Social; Video; YouTube

Indexed keywords

CATEGORIZATION; CLASSIFICATION; NAIVE BAYES; SOCIAL; VIDEO; YOUTUBE;

EID: 79953008448     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878807     Document Type: Conference Paper
Times cited : (10)

References (15)
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  • 4
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    • Distilling digital traces: Computational social science approaches to studying the internet
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  • 7
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    • Predicting the popularity of online content
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    • Szabo, G.1    Huberman, B.A.2
  • 8
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    • Generalized naive bayes classifiers
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  • 9
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    • Naive Bayes models for probability estimation
    • DOI 10.1145/1102351.1102418, ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning
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    • (2005) ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning , pp. 529-536
    • Lowd, D.1    Domingos, P.2
  • 11
    • 0031269184 scopus 로고    scopus 로고
    • On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
    • Domingos, P. and Pazzani, M., "On the optimality of the simple bayesian classifier under zero-one loss," Mach. Learn. 29(2-3), 103-130 (1997). (Pubitemid 127510035)
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    • Domingos, P.1    Pazzani, M.2
  • 12
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    • An analysis of data characteristics that affect naive bayes performance
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  • 13
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.