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Volumn 3918 LNAI, Issue , 2006, Pages 60-69

Using weighted nearest neighbor to benefit from unlabeled data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATA ACQUISITION; KNOWLEDGE ACQUISITION;

EID: 33745786102     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731139_10     Document Type: Conference Paper
Times cited : (42)

References (18)
  • 1
    • 0005977840 scopus 로고    scopus 로고
    • Learning with labeled and unlabeled data
    • Edinburgh University
    • Seeger, M.: Learning with labeled and unlabeled data. Technical report, Edinburgh University (2001)
    • (2001) Technical Report
    • Seeger, M.1
  • 4
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam, K., McCallum, A., Thrun, S., Mitchell, T.: Text classification from labeled and unlabeled documents using em. Machine Learning 39 (2000) 103-134
    • (2000) Machine Learning , vol.39 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 6
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Bratko, I., Džeroski, S., eds.: Morgan Kaufmann
    • Joachims, T.: Transductive inference for text classification using support vector machines. In Bratko, I., Džeroski, S., eds.: Proceedings of ICML99, 16th International Conference on Machine Learning, Morgan Kaufmann (1999) 200-209
    • (1999) Proceedings of ICML99, 16th International Conference on Machine Learning , pp. 200-209
    • Joachims, T.1
  • 7
    • 0042878370 scopus 로고    scopus 로고
    • Partially labeled classification with markov random walks
    • Dietterich, T., Becker, S., Ghahramani, Z., eds.: [Neural Information Processing Systems, NIPS 2001, December 3-8, 2001, Vancouver and Whistler, British Columbia, Canada], Cambridge, MA, MIT Press
    • Szummer, M., Jaakkola, T.: Partially labeled classification with markov random walks. In Dietterich, T., Becker, S., Ghahramani, Z., eds.: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems, NIPS 2001, December 3-8, 2001, Vancouver and Whistler, British Columbia, Canada], Cambridge, MA, MIT Press (2001) 945-952
    • (2001) Advances in Neural Information Processing Systems , vol.14 , pp. 945-952
    • Szummer, M.1    Jaakkola, T.2
  • 8
    • 32844455952 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised learning
    • Becker, S., Thrun, S., Obermayer, K., eds.: [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada], Cambridge, MA, MIT Press
    • Chapelle, O., Weston, J., Schölkopf, B.: Cluster kernels for semi-supervised learning. In Becker, S., Thrun, S., Obermayer, K., eds.: Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada], Cambridge, MA, MIT Press (2002) 585-592
    • (2002) Advances in Neural Information Processing Systems , vol.15 , pp. 585-592
    • Chapelle, O.1    Weston, J.2    Schölkopf, B.3
  • 9
    • 33744955193 scopus 로고    scopus 로고
    • PhD thesis, Carnegie Mellon University, School of Computer Science, Pittsburgh, Pennsylvania (PA), USA
    • Zhu, X.: Semi-supervised learning with graphs. PhD thesis, Carnegie Mellon University, School of Computer Science, Pittsburgh, Pennsylvania (PA), USA (2005)
    • (2005) Semi-supervised Learning with Graphs
    • Zhu, X.1
  • 10
    • 0010805362 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data using graph mincuts
    • Brodley, C., Pohoreckyj Danyluk, A., eds.: Williams College, Williamstown, MA, USA, June 28 - July 1, 2001, Morgan Kaufmann
    • Blum, A., Chawla, S.: Learning from labeled and unlabeled data using graph mincuts. In Brodley, C., Pohoreckyj Danyluk, A., eds.: Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001, Morgan Kaufmann (2001) 19-26
    • (2001) Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001) , pp. 19-26
    • Blum, A.1    Chawla, S.2
  • 11
    • 1942484960 scopus 로고    scopus 로고
    • Transductive learning via spectral graph partitioning
    • Fawcett, T., Mishra, N., eds.: August 21-24, 2003, Washington, DC, USA, AAAI Press
    • Joachims, T.: Transductive learning via spectral graph partitioning. In Fawcett, T., Mishra, N., eds.: Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, AAAI Press (2003) 290-297
    • (2003) Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003) , pp. 290-297
    • Joachims, T.1
  • 12
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised seaming using gaussian fields and harmonic functions
    • Fawcett, T., Mishra, N., eds.: August 21-24, 2003, Washington, DC, USA, AAAI Press
    • Zhu, X., Ghahramani, Z., Lafferty, J.: Semi-supervised seaming using gaussian fields and harmonic functions. In Fawcett, T., Mishra, N., eds.: Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, AAAI Press (2003) 912-919
    • (2003) Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003) , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3
  • 18
    • 0043023536 scopus 로고
    • Efficient algorithms with nearal network behavior
    • Omohundro, S.: Efficient algorithms with nearal network behavior. Journal of Complex Systems 1 (1987) 273-347
    • (1987) Journal of Complex Systems , vol.1 , pp. 273-347
    • Omohundro, S.1


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