메뉴 건너뛰기




Volumn 227, Issue , 2007, Pages 49-56

The rendezvous algorithm: Multiclass semi-supervised learning with Markov random walks

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; GRAPHIC METHODS; LEARNING SYSTEMS; MARKOV PROCESSES; NUMERICAL METHODS; PROBABILITY;

EID: 34547998923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273503     Document Type: Conference Paper
Times cited : (80)

References (21)
  • 2
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., & Niyogi, P. (2003). Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation.
    • (2003) Neural Computation
    • Belkin, M.1    Niyogi, P.2
  • 6
    • 33749252873 scopus 로고    scopus 로고
    • Chapelle, O, Scholkopf, B, & Zien, A, Eds, Cambridge, MA: MIT Press
    • Chapelle, O., Scholkopf, B., & Zien, A. (Eds.). (2006). Semi-Supervised Learning. Cambridge, MA: MIT Press.
    • (2006) Semi-Supervised Learning
  • 12
    • 0005977840 scopus 로고    scopus 로고
    • Learning with Labeled and Unlabeled Data
    • University of Edinbrough
    • Seeger, M. (2002). Learning with Labeled and Unlabeled Data (Technical Report). University of Edinbrough.
    • (2002) Technical Report
    • Seeger, M.1
  • 19
    • 33745456231 scopus 로고    scopus 로고
    • Semi-Supervised Learning Literature Survey
    • 1530, Computer Science, University of Wisconsin-Madison
    • Zhu, X. (2006). Semi-Supervised Learning Literature Survey (Technical Report 1530). Computer Science, University of Wisconsin-Madison.
    • (2006) Technical Report
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.