메뉴 건너뛰기




Volumn 1, Issue , 2008, Pages 132-142

Semi-supervised learning based on semiparametric regularizaron

Author keywords

[No Author keywords available]

Indexed keywords

APPLIED MATHEMATICS; CLASSIFICATION TASKS; DATA MINING APPLICATIONS; GEOMETRIC DISTRIBUTION; GEOMETRIC STRUCTURES; INDUCTIVE LEARNING; INTERNATIONAL CONFERENCES; LABELED AND UNLABELED DATA; LABELED DATA; LOSS FUNCTIONS; MACHINE-LEARNING; MARGINAL DISTRIBUTIONS; PAPER ADDRESSES; PARAMETRIC FUNCTIONS; PRIOR KNOWLEDGE; SAMPLE DATA; SEMI-SUPERVISED LEARNING; STATE-OF-THE-ART PERFORMANCE; TO MANY; UNLABELED DATA;

EID: 52649118134     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (21)
  • 2
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7:2399-2434, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 3
    • 0010805362 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data using graph mincuts
    • A. Blum and S. Chawla. Learning from labeled and unlabeled data using graph mincuts. In ICML, pages 19-26, 2001.
    • (2001) ICML , pp. 19-26
    • Blum, A.1    Chawla, S.2
  • 4
    • 33749252873 scopus 로고    scopus 로고
    • O. Chapelle, B. Schölkopf, and A. Zien, editors, MIT Press, Cambridge, MA
    • O. Chapelle, B. Schölkopf, and A. Zien, editors. Semi-Supervised Learning. MIT Press, Cambridge, MA, 2006.
    • (2006) Semi-Supervised Learning
  • 5
    • 32844455952 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised learning
    • O. Chapelle, J. Weston, and B. Schölkopf. Cluster kernels for semi-supervised learning. In NIPS, pages 585-592, 2002.
    • (2002) NIPS , pp. 585-592
    • Chapelle, O.1    Weston, J.2    Schölkopf, B.3
  • 7
    • 29344448013 scopus 로고    scopus 로고
    • Semi-supervised learning by entropy minimization
    • Y. Grandvalet and Y. Bengio. Semi-supervised learning by entropy minimization. In NIPS, 2004.
    • (2004) NIPS
    • Grandvalet, Y.1    Bengio, Y.2
  • 8
    • 1942484960 scopus 로고    scopus 로고
    • Transductive learning via spectral graph partitioning
    • T. Joachims. Transductive learning via spectral graph partitioning. In ICML, pages 290-297, 2003.
    • (2003) ICML , pp. 290-297
    • Joachims, T.1
  • 9
    • 84864039857 scopus 로고    scopus 로고
    • Hyperparameter and kernel learning for graph based semi-supervised classification
    • A. Kapoor, Y. A. Qi, H. Ahn, and R. W. Picard. Hyperparameter and kernel learning for graph based semi-supervised classification. In NIPS, 2005.
    • (2005) In NIPS
    • Kapoor, A.1    Qi, Y.A.2    Ahn, H.3    Picard, R.W.4
  • 10
    • 14344255620 scopus 로고    scopus 로고
    • Kernel conditional random fields: Representation and clique selection
    • J. D. Lafferty, X. Zhu, and Y. Liu. Kernel conditional random fields: representation and clique selection. In ICML, 2004.
    • (2004) ICML
    • Lafferty, J.D.1    Zhu, X.2    Liu, Y.3
  • 11
    • 29344457005 scopus 로고    scopus 로고
    • Word sense disambiguation with semi-supervised learning
    • T. P. Pham, H. T. Ng, and W. S. Lee. Word sense disambiguation with semi-supervised learning. In AAAI, pages 1093-1098, 2005.
    • (2005) AAAI , pp. 1093-1098
    • Pham, T.P.1    Ng, H.T.2    Lee, W.S.3
  • 13
    • 31844440904 scopus 로고    scopus 로고
    • Beyond the point cloud: From transductive to semi-supervised learning
    • V. Sindhwani, P. Niyogi, and M. Belkin. Beyond the point cloud: from transductive to semi-supervised learning. In Proc. ICML, 2005.
    • (2005) Proc. ICML
    • Sindhwani, V.1    Niyogi, P.2    Belkin, M.3
  • 15
    • 0000043665 scopus 로고
    • On solving ill-posed problem and method of regularization
    • A. N. Tikhonov. On solving ill-posed problem and method of regularization. Dokl. Akad. Nauk USSR 153, pages 501-504, 1963.
    • (1963) Dokl. Akad. Nauk USSR , vol.153 , pp. 501-504
    • Tikhonov, A.N.1
  • 17
    • 29344456217 scopus 로고    scopus 로고
    • Unsupervised and semisupervised multi-class support vector machines
    • L. Xu and D. Schuurmans. Unsupervised and semisupervised multi-class support vector machines. In AAAI, pages 904-910, 2005.
    • (2005) AAAI , pp. 904-910
    • Xu, L.1    Schuurmans, D.2
  • 18
    • 52649179385 scopus 로고    scopus 로고
    • Hyperparameter learning for graph based semi-supervised learning algorithms
    • X. Zhang and W. S. Lee. Hyperparameter learning for graph based semi-supervised learning algorithms. In NIPS, 2006.
    • (2006) NIPS
    • Zhang, X.1    Lee, W.S.2
  • 20
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • Technical Report 1530, Computer Sciences, University of Wisconsin-Madison
    • X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison, 2005.
    • (2005)
    • Zhu, X.1
  • 21
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. D. Lafferry. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, pages 912-919, 2003.
    • (2003) ICML , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferry, J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.