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Volumn , Issue , 2012, Pages 3476-3479

Importance-weighted label prediction for active learning with noisy annotations

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; ENSEMBLE OF CLASSIFIERS; LABEL PREDICTIONS; POOL-BASED; PRACTICAL METHOD; REAL-WORLD APPLICATION; TRAINING DATA;

EID: 84874564285     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (14)
  • 4
    • 34047236313 scopus 로고    scopus 로고
    • Utilizing information theoretic diversity for svm active learning
    • C. Dagli, S. Rajaram, and T. Huang. Utilizing information theoretic diversity for svm active learning. In ICPR, 2006.
    • (2006) ICPR
    • Dagli, C.1    Rajaram, S.2    Huang, T.3
  • 6
    • 84874581450 scopus 로고    scopus 로고
    • Upal: Unbiased pool based active learning
    • R. Ganti and A. Gray. UPAL: Unbiased pool based active learning. In AISTATS, 2011.
    • (2011) AISTATS
    • Ganti, R.1    Gray, A.2
  • 8
    • 85013879626 scopus 로고
    • A sequential algorithm for training text classifiers
    • D. Lewis and W. Gale. A sequential algorithm for training text classifiers. In SIGIR, 1994.
    • (1994) SIGIR
    • Lewis, D.1    Gale, W.2
  • 9
    • 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. In Advances in large margin classifiers, 1999.
    • (1999) Advances in Large Margin Classifiers
    • Platt, J.1
  • 11
    • 65449144451 scopus 로고    scopus 로고
    • Get another label? improving data quality and data mining using multiple, noisy labelers
    • V. Sheng, F. Provost, and P. Ipeirotis. Get another label? Improving data quality and data mining using multiple, noisy labelers. In KDD, 2008.
    • (2008) KDD
    • Sheng, V.1    Provost, F.2    Ipeirotis, P.3
  • 12
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller. Support vector machine active learning with applications to text classification. JMLR, 2, 2001.
    • (2001) JMLR , vol.2
    • Tong, S.1    Koller, D.2
  • 13
    • 84863418365 scopus 로고    scopus 로고
    • Incremental relabeling for active learning with noisy crowdsourced annotations
    • L. Zhao, G. Sukthankar, and R. Sukthankar. Incremental relabeling for active learning with noisy crowdsourced annotations. In IEEE SocialCom, 2011.
    • (2011) IEEE SocialCom
    • Zhao, L.1    Sukthankar, G.2    Sukthankar, R.3
  • 14
    • 79951749185 scopus 로고    scopus 로고
    • Active learning from multiple noisy labelers with varied costs
    • Y. Zheng, S. Scott, and K. Deng. Active learning from multiple noisy labelers with varied costs. In ICDM, 2010.
    • (2010) ICDM
    • Zheng, Y.1    Scott, S.2    Deng, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.