메뉴 건너뛰기




Volumn 8443 LNAI, Issue PART 1, 2014, Pages 237-248

Multi-instance learning from positive and unlabeled bags

Author keywords

classification; Multi instance learning; unlabeled bags

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING;

EID: 84901249199     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-06608-0_20     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 1
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • Dietterich, T., Lathrop, R., Lozano-Pérez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artif. Intell. 89, 31-71 (1997)
    • (1997) Artif. Intell. , vol.89 , pp. 31-71
    • Dietterich, T.1    Lathrop, R.2    Lozano-Pérez, T.3
  • 3
    • 33750284913 scopus 로고    scopus 로고
    • Incorporating multiple SVMs for automatic image annotation
    • Qi, X., Han, Y.: Incorporating multiple SVMs for automatic image annotation. Pattern Recogn. 40, 728-741 (2007)
    • (2007) Pattern Recogn. , vol.40 , pp. 728-741
    • Qi, X.1    Han, Y.2
  • 4
    • 51749113827 scopus 로고    scopus 로고
    • Learning from positive and unlabeled examples: A survey
    • Zhang, B., Zuo, W.: Learning from positive and unlabeled examples: A survey. In: ISIP, pp. 650-654 (2008)
    • (2008) ISIP , pp. 650-654
    • Zhang, B.1    Zuo, W.2
  • 5
    • 78149306870 scopus 로고    scopus 로고
    • Building text classifiers using positive and unlabeled examples
    • Liu, B., Dai, Y., Li, X., Lee, W.S., Yu, P.S.: Building text classifiers using positive and unlabeled examples. In: ICDM, Washington, DC, USA, p. 179 (2003)
    • (2003) ICDM, Washington, DC, USA , pp. 179
    • Liu, B.1    Dai, Y.2    Li, X.3    Lee, W.S.4    Yu, P.S.5
  • 6
    • 84898946229 scopus 로고    scopus 로고
    • Support vector machines for multiple-instance learning
    • Andrews, S., Tsochantaridis, I., Hofmann, T.: Support vector machines for multiple-instance learning. In: NIPS, pp. 561-568 (2003)
    • (2003) NIPS , pp. 561-568
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 7
    • 84856528501 scopus 로고    scopus 로고
    • A novel immune clonal algorithm for mo problems
    • Shang, R., Jiao, L., Liu, F., Ma, W.: A novel immune clonal algorithm for mo problems. IEEE Trans. Evol. Comput. 16(1), 35-50 (2012)
    • (2012) IEEE Trans. Evol. Comput. , vol.16 , Issue.1 , pp. 35-50
    • Shang, R.1    Jiao, L.2    Liu, F.3    Ma, W.4
  • 9
    • 84876468871 scopus 로고    scopus 로고
    • An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery
    • Zhong, Y., Zhang, L.: An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery. IEEE Trans. Geosci. Remote Sens. 50(3), 894-909 (2012)
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.3 , pp. 894-909
    • Zhong, Y.1    Zhang, L.2
  • 10
    • 31844448950 scopus 로고    scopus 로고
    • Supervised versus multiple instance learning: An empirical comparison
    • Ray, S., Craven, M.: Supervised versus multiple instance learning: an empirical comparison. In: ICML, New York, NY, USA, pp. 697-704 (2005)
    • (2005) ICML, New York, NY, USA , pp. 697-704
    • Ray, S.1    Craven, M.2
  • 11
    • 84863154683 scopus 로고    scopus 로고
    • Positive and unlabeled learning for graph classification
    • Zhao, Y., Kong, X., Yu, P.S.: Positive and unlabeled learning for graph classification. In: ICDM, pp. 962-971 (2011)
    • (2011) ICDM , pp. 962-971
    • Zhao, Y.1    Kong, X.2    Yu, P.S.3
  • 12
  • 13
    • 65449166085 scopus 로고    scopus 로고
    • Arnetminer: Extraction and mining of academic social networks
    • Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: Arnetminer: extraction and mining of academic social networks. In: KDD, pp. 990-998 (2008)
    • (2008) KDD , pp. 990-998
    • Tang, J.1    Zhang, J.2    Yao, L.3    Li, J.4    Zhang, L.5    Su, Z.6
  • 14
    • 84865207684 scopus 로고    scopus 로고
    • Bayesian multi-instance multi-label learning using gaussian process prior
    • He, J., Gu, H., Wang, Z.: Bayesian multi-instance multi-label learning using gaussian process prior. Mach. Learn. 88(1-2), 273-295 (2012)
    • (2012) Mach. Learn. , vol.88 , Issue.1-2 , pp. 273-295
    • He, J.1    Gu, H.2    Wang, Z.3
  • 15
    • 43249117136 scopus 로고    scopus 로고
    • Real-time computerized annotation of pictures
    • Li, J., Wang, J.Z.: Real-time computerized annotation of pictures. IEEE Trans. Pattern Anal. Mach. Intell. 30(6), 985-1002 (2008)
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.6 , pp. 985-1002
    • Li, J.1    Wang, J.Z.2
  • 16
    • 84947441494 scopus 로고    scopus 로고
    • Blobworld: A system for region-based image indexing and retrieval
    • Huijsmans, D.P., Smeulders, A.W.M. (eds.) VISUAL 1999. Springer, Heidelberg
    • Carson, C., Thomas, M., Belongie, S., Hellerstein, J.M., Malik, J.: Blobworld: A system for region-based image indexing and retrieval. In: Huijsmans, D.P., Smeulders, A.W.M. (eds.) VISUAL 1999. LNCS, vol. 1614, pp. 509-517. Springer, Heidelberg (1999)
    • (1999) LNCS , vol.1614 , pp. 509-517
    • Carson, C.1    Thomas, M.2    Belongie, S.3    Hellerstein, J.M.4    Malik, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.