A method for inferring label sampling mechanisms in semi-supervised learning

Advances in Neural Information Processing Systems

Volumn , Issue , 2005, Pages

  Rosset, Saharon ^a   Zhu, Ji ^b   Zou, Hui ^b   Hastie, Trevor ^b  

^a Data Analytics Research Group   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

METHOD OF MOMENTS;

LABELED DATA; LEARNING TASKS; SAMPLING MECHANISMS; SEMI-SUPERVISED LEARNING; STOCHASTIC DEPENDENCE; UNLABELED DATA;

SUPERVISED LEARNING;

EID: 33749554765     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Acton, F. (1990) Numerical Methods That Work. Washington: Math. Assoc. of America.
2. Dennis, J. & Schnabel, R. (1983) Numerical Methods for Unconstrained Optimization and Nonlinear Equations. New Jersey: Prentice-Hall.
3. Heckman, J.I. (1976). The common structure of statistical models for truncation, sample selection and limited dependent variables, and a simple estimator for such models. Annals of Economic and Social Measurement 5:475-492.
4. Lee, W.S. & Liu, B. (2003). Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. ICML-03.
5. Lin, Y., Lee, Y. & Wahba, G. (2000). Support vector machines for classification in nonstandard situations. Machine Learning, 46:191-202.
6. Liu, B., Dai, Y., Li, X., Lee, W.S. & Yu, P. (2003). Building Text Classifiers Using Positive and Unlabeled Examples. Proceedings ICDM-03.
7. Little, R. & Rubin, D. (2002). Statistical Analysis with Missing Data, 2nd Ed. . Wiley & Sons.
8. Nigam, K., McCallum, A., Thrun, S. & Mitchell, T. (2000) Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning 39(2/3):103-134.
9. Pace, R.K. & Barry, R. (1997). Sparse Spatial Autoregressions. Stat. & Prob. Let., 33 291-297.
10. Vardi, Y. (1985). Empirical Distributions in Selection Bias Models. Annals of Statistics, 13.
11. Zou, H., Zhu, J. & Hastie, T. (2004). Automatic Bayes Carpentary in Semi-Supervised Classification. Unpublished.