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Volumn , Issue , 2016, Pages 3179-3187

Launch and iterate: Reducing prediction churn

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; ITERATIVE METHODS; LEARNING SYSTEMS; MARKOV PROCESSES; STABILIZATION;

EID: 85018868078     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (61)

References (15)
  • 1
    • 0018520640 scopus 로고
    • Distribution-free performance bounds for potential function rules
    • L. Devroye and T. Wagner. Distribution-free performance bounds for potential function rules. Information Theory, IEEE Transactions on, 25(5): 601-604, 1979.
    • (1979) Information Theory, IEEE Transactions on , vol.25 , Issue.5 , pp. 601-604
    • Devroye, L.1    Wagner, T.2
  • 6
    • 33745655665 scopus 로고    scopus 로고
    • Learning theory: Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
    • S. Mukherjee, P. Niyogi, T. Poggio, and R. Rifkin. Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. Advances in Computational Mathematics, 25(1-3): 161-193, 2006.
    • (2006) Advances in Computational Mathematics , vol.25 , Issue.1-3 , pp. 161-193
    • Mukherjee, S.1    Niyogi, P.2    Poggio, T.3    Rifkin, R.4
  • 9
    • 84957926960 scopus 로고    scopus 로고
    • A survey of randomized algorithms for training neural networks
    • L. Zhang and P. N. Suganthan. A survey of randomized algorithms for training neural networks. Information Sciences, 2016.
    • (2016) Information Sciences
    • Zhang, L.1    Suganthan, P.N.2
  • 10
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • J. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in Large Margin Classifiers, 10(3): 61-74, 1999.
    • (1999) Advances in Large Margin Classifiers , vol.10 , Issue.3 , pp. 61-74
    • Platt, J.1
  • 14
    • 84945948591 scopus 로고    scopus 로고
    • Coimbra, Portugal, September 8-11, 2015. Proceedings, chapter A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News Springer International Publishing, Cham
    • K. Fernandes, P. Vinagre, and P. Cortez. Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings, chapter A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News, pages 535-546. Springer International Publishing, Cham, 2015.
    • (2015) Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015 , pp. 535-546
    • Fernandes, K.1    Vinagre, P.2    Cortez, P.3
  • 15
    • 85019206789 scopus 로고    scopus 로고
    • Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux
    • Nancy, France, France, March
    • F. Kawala, E. Gaussier, A. Douzal-Chouakria, and E. Diemert. Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux. In Coria'2014, pages 1-15, Nancy, France, France, March 2014.
    • (2014) Coria'2014 , pp. 1-15
    • Kawala, F.1    Gaussier, E.2    Douzal-Chouakria, A.3    Diemert, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.