Kristin P. Bennett, Ayhan Demiriz  Home/Search
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Abstract: We introduce a semi-supervised support vector machine (S 3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S 3 VM constructs a support vector machine using both the training and working sets. We use S 3 VM to solve the transduction problem using overall risk minimization (ORM) posed by Vapnik. The transduction problem is to estimate the value of a classification function at the given points in the working set. This contrasts with the standard... (Update)
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BibTeX entry: (Update)
Bennett K., Demiriz A. (1998) , "Semi-Supervised Support Vector Machines", to appear in Advances in Neural Information Processing Systems 11. http://citeseer.ist.psu.edu/bennett98semisupervised.html More
@misc{ bennett98semisupervised,
author = "K. Bennett and A. Demiriz",
title = "Semi-Supervised Support Vector Machines",
text = "Bennett K., Demiriz A. (1998) , Semi-Supervised Support Vector Machines,
to appear in Advances in Neural Information Processing Systems 11.",
year = "1998",
url = "citeseer.ist.psu.edu/bennett98semisupervised.html" }
Citations (may not include all citations):1291 The Nature of Statistical Learning Theory (context) - Vapnik - 1995
667 UCI repository of machine learning databases (context) - Murphy, Aha - 1992
524 Support vector networks - Cortes, Vapnik - 1995
431 A tutorial on support vector machines for pattern recognitio.. - Burges - 1998
218 AMPL A Modeling Language for Mathematical Programming (context) - Fourer, Gay et al. - 1993
124 Robust linear programming discrimination of two linearly ins.. - Bennett, Mangasarian - 1992
91 Using the CPLEX Callable Library (context) - Incorporated, Village - 1994
80 Support vector machines: Training and applications - Osuna, Freund et al. - 1997
50 Feature selection via concave minimization and support vecto.. - Bradley, Mangasarian - 1998
23 Theory of Pattern Recognition (context) - Vapnik, Ja - 1974
20 Massive data discrimination via linear support vector machin.. - Bradley, Mangasarian - 1998
15 Feature minimization within decision trees - Bredensteiner, Bennett - 1997
14 Automated stargalaxy discrimination with neural network (context) - Pennington, Zumach et al. - 1992
9 Partially supervised clustering for image segmentation (context) - Bensaid, Hall et al.
8 On support vector decision trees for database marketing (context) - Bennett, Wu et al. - 1998
5 Geometry in learning - Bennett, Bredensteiner - 1997
4 Linear programming support vector machines for pattern class.. (context) - Fries, Fries - 1998
1 Sequentional minimal optimization: A fast algorithm for trai.. (context) - Platt - 1998
1 Tumor volume measurements using supervised and semi-supervis.. (context) - Vaidyanathan, Velthuizen et al. - 1994
1 Technical Report Mathematical Programming Technical Report (context) - Mangasarian, norm - 1997
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