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Volumn 9, Issue , 2010, Pages 209-216

Semi-supervised learning via generalized maximum entropy

Author keywords

[No Author keywords available]

Indexed keywords

DATA GEOMETRY; ENTROPY FUNCTION; EXPERIMENTAL EVALUATION; MAXIMUM ENTROPY; MULTI-CLASS; POTENTIAL FUNCTION; PRIOR INFORMATION; SEMI-SUPERVISED ALGORITHM; SEMI-SUPERVISED LEARNING; STRUCTURAL ASSUMPTION; SUPERVISED INFERENCE; UNLABELED DATA;

EID: 84862287689     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (19)
  • 1
    • 33746060884 scopus 로고    scopus 로고
    • Unifying divergence minimization and statistical inference via convex duality
    • Altun, Y., & Smola, A. J. (2006). Unifying divergence minimization and statistical inference via convex duality. COLT (pp. 139-153).
    • (2006) COLT , pp. 139-153
    • Altun, Y.1    Smola, A.J.2
  • 2
    • 80053165082 scopus 로고    scopus 로고
    • Alternating projections for learning with expectation constraints
    • Bellare, K., Druck, G., & McCallum, A. (2009). Alternating projections for learning with expectation constraints. UAI.
    • (2009) UAI
    • Bellare, K.1    Druck, G.2    McCallum, A.3
  • 6
    • 32844455952 scopus 로고    scopus 로고
    • Cluster kernels for semi-supervised learning
    • MIT Press
    • Chapelle, O., Weston, J., & Schölkopf, B. Cluster kernels for semi-supervised learning. NIPS (pp. 585-592). MIT Press.
    • NIPS , pp. 585-592
    • Chapelle, O.1    Weston, J.2    Schölkopf, B.3
  • 7
    • 51949086172 scopus 로고    scopus 로고
    • Semi-supervised classification by low density separation
    • Chapelle, O., & Zien, A. (2005). Semi-supervised classification by low density separation. AISTATS (pp. 57-64).
    • (2005) AISTATS , pp. 57-64
    • Chapelle, O.1    Zien, A.2
  • 8
    • 33746050365 scopus 로고    scopus 로고
    • Maximum entropy distribution estimation with generalized regularization
    • Dudík, M., & Schapire, R. E. (2006). Maximum entropy distribution estimation with generalized regularization. COLT (pp. 123-138).
    • (2006) COLT , pp. 123-138
    • Dudík, M.1    Schapire, R.E.2
  • 10
    • 84898928156 scopus 로고    scopus 로고
    • Semi-supervised learning by entropy minimization
    • Cambridge, MA: MIT Press
    • Grandvalet, Y., & Bengio, Y. (2005). Semi-supervised learning by entropy minimization. NIPS (pp. 529-536). Cambridge, MA: MIT Press.
    • (2005) NIPS , pp. 529-536
    • Grandvalet, Y.1    Bengio, Y.2
  • 11
  • 13
    • 71149098112 scopus 로고    scopus 로고
    • Learning from measurements in exponential families
    • Montreal, Quebec, Canada
    • Liang, P., Jordan, M. I., & Klein, D. (2009). Learning from measurements in exponential families. ICML (pp. 641-648). Montreal, Quebec, Canada.
    • (2009) ICML , pp. 641-648
    • Liang, P.1    Jordan, M.I.2    Klein, D.3
  • 14
    • 34547978786 scopus 로고    scopus 로고
    • Simple, robust, scalable semi-supervised learning via expectation regularization
    • Corvalis, Oregon
    • Mann, G. S., & McCallum, A. (2007). Simple, robust, scalable semi-supervised learning via expectation regularization. ICML (pp. 593-600). Corvalis, Oregon.
    • (2007) ICML , pp. 593-600
    • Mann, G.S.1    McCallum, A.2
  • 15
    • 84859912771 scopus 로고    scopus 로고
    • Generalized expectation criteria for semi-supervised learning of conditional random fields
    • Columbus, Ohio
    • Mann, G. S., & McCallum, A. (2008). Generalized expectation criteria for semi-supervised learning of conditional random fields. ACL. Columbus, Ohio.
    • (2008) ACL
    • Mann, G.S.1    McCallum, A.2
  • 17
    • 31844440904 scopus 로고    scopus 로고
    • Beyond the point cloud: From transductive to semi-supervised learning
    • Sindhwani, V., Niyogi, P., & Belkin, M. (2005). Beyond the point cloud: from transductive to semi-supervised learning. ICML.
    • (2005) ICML
    • Sindhwani, V.1    Niyogi, P.2    Belkin, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.