메뉴 건너뛰기




Volumn 4212 LNAI, Issue , 2006, Pages 473-484

Multiple-instance learning via random walk

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; GRAPH THEORY; ITERATIVE METHODS; LEARNING ALGORITHMS; RANDOM PROCESSES;

EID: 33750341001     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_45     Document Type: Conference Paper
Times cited : (16)

References (25)
  • 3
    • 84898999828 scopus 로고    scopus 로고
    • Em-dd: An improved multiple-instance learning technique
    • Zhang, Q., Goldman, S.: Em-dd: An improved multiple-instance learning technique. In: NIPS (14). (2002) 1073-1080
    • (2002) NIPS (14) , pp. 1073-1080
    • Zhang, Q.1    Goldman, S.2
  • 4
    • 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(15). (2003)
    • (2003) NIPS(15)
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 5
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
    • Chen, Y., Wang, J.Z.: Image categorization by learning and reasoning with regions. Journal of Machine Learning Research 5 (2004) 913-939
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 913-939
    • Chen, Y.1    Wang, J.Z.2
  • 8
    • 0141596676 scopus 로고    scopus 로고
    • Solving the multiple-instance problem: A lazy learning approach
    • Wang, J., Zucker, J.D.: Solving the multiple-instance problem: a lazy learning approach. In: Proc. 17th Int. Conf. on Machine Learning. (2000) 1119-1125
    • (2000) Proc. 17th Int. Conf. on Machine Learning , pp. 1119-1125
    • Wang, J.1    Zucker, J.D.2
  • 14
  • 16
    • 84858874031 scopus 로고    scopus 로고
    • Partially labeled classification with markov random walks
    • Szummer, M., Jaakkola, T.: Partially labeled classification with markov random walks. In: NIPS. (2002)
    • (2002) NIPS
    • Szummer, M.1    Jaakkola, T.2
  • 17
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • Zhu, X., Ghahramani, Z., Lafferty, J.: Semi-supervised learning using gaussian fields and harmonic functions. In: ICML. (2003)
    • (2003) ICML
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3
  • 18
    • 84898946656 scopus 로고    scopus 로고
    • Using manifold stucture for partially labeled classification
    • Belkin, M., Niyogi, P.: Using manifold stucture for partially labeled classification. In: NIPS. (2003)
    • (2003) NIPS
    • Belkin, M.1    Niyogi, P.2
  • 20
    • 31844438481 scopus 로고    scopus 로고
    • Harmonic mixtures: Combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
    • Zhu, X., Lafferty, J.: Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. In: Proc. 22th International Conf. on Machine Learning. (2005)
    • (2005) Proc. 22th International Conf. on Machine Learning
    • Zhu, X.1    Lafferty, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.