A modified semi-supervised learning algorithm on laplacian eigenmaps

Neural Processing Letters

Volumn 32, Issue 1, 2010, Pages 75-82

  Zhao, Zhong Qiu ^a   Li, Jun Zhao ^a   Gao, Jun ^a   Wu, Xindong ^a,b  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b University of Vermont ^*  (United States)

Author keywords

Laplacian eigenmaps; Learning speed; Multi class problem; Semi supervised learning

Indexed keywords

CLASSIFICATION PERFORMANCE; LAPLACIAN EIGENMAPS; LEARNING PROBLEM; LEARNING SPEED; MODIFIED ALGORITHMS; MULTI-CLASS; MULTI-CLASS PROBLEMS; ORIGINAL ALGORITHMS; SEMI-SUPERVISED LEARNING;

LAPLACE TRANSFORMS; SPEED; SUPERVISED LEARNING;

LEARNING ALGORITHMS;

EID: 77955307069     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-010-9142-0     Document Type: Article

References (9)

1. MR Amini P Gallinari 2005 Semi-supervised learning with an imperfect supervisor Knowl Inf Syst 8 4 385 413 10.1007/s10115-005-0219-4
2. M Belkin P Niyogi 2003 Laplacian eigenmaps for dimensionality reduction and data representation Neural Comput 15 6 1373 1396 1085.68119 10.1162/089976603321780317
3. M Belkin P Niyogi 2004 Semi-supervised learning on Riemannian manifolds Mach Learn 56 209 239 1089.68086 10.1023/B:MACH.0000033120.25363.1e
4. W Du K Inoue K Urahama 2005 Dimensionality reduction for semi-supervised face recognition Lect Notes Comput Sci 3614 1 10 10.1007/11540007-170
5. Nilsson NJ (1965) Learning machines: foundations of trainable pattern-classifying systems. McGraw-Hill, New York
6. S Xiang F Nie Y Song C Zhang C Zhang 2009 Embedding new data points for manifold learning via coordinate propagation Knowl Inf Syst 19 2 159 184 10.1007/s10115-008-0161-3
7. Zhou DY, Bousquet O, Lal TN, Weston J, Scholkopf B (2003) Learning with local and global consistency Max Planck institute for biological cybernetics technical report
8. Zhou ZH, Li M (2009) Semi-supervised learning by disagreement. Knowl Inf Syst published online doi: 10.1007/s10115-009-0209-z
9. Zhu X, Ghahramani Z, Lafferty J (2003) Semi-supervised learning using Gaussian field and harmonic functions. In: Proceedings of the 20th international conference on machine learning (ICML-2003), Washington, DC