Glenn Fung
Glenn Fung
American Family Insurance
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Cited by
Cited by
Multicategory proximal support vector machine classifiers
GM Fung, OL Mangasarian
Machine learning 59 (1-2), 77-97, 2005
Fast optimization methods for l1 regularization: A comparative study and two new approaches
M Schmidt, G Fung, R Rosales
European Conference on Machine Learning, 286-297, 2007
A feature selection Newton method for support vector machine classification
GM Fung, OL Mangasarian
Computational optimization and applications 28 (2), 185-202, 2004
Active learning from crowds
Y Yan, R Rosales, G Fung, JG Dy
ICML, 2011
Semi-superyised support vector machines for unlabeled data classification
G Fung, OL Mangasarian
Optimization methods and software 15 (1), 29-44, 2001
Knowledge-based support vector machine classifiers
G Fung, OL Mangasarian, JW Shavlik
NIPS, 521-528, 2002
Modeling annotator expertise: Learning when everybody knows a bit of something
Y Yan, R Rosales, G Fung, M Schmidt, G Hermosillo, L Bogoni, L Moy, ...
Proceedings of the Thirteenth International Conference on Artificial …, 2010
Incremental support vector machine classification
G Fung, OL Mangasarian
Proceedings of the 2002 SIAM International Conference on Data Mining, 247-260, 2002
Rule extraction from linear support vector machines
G Fung, S Sandilya, RB Rao
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
On the dangers of cross-validation. An experimental evaluation
RB Rao, G Fung, R Rosales
Proceedings of the 2008 SIAM international conference on data mining, 588-596, 2008
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
G Fung, J Stoeckel
Knowledge and Information Systems 11 (2), 243-258, 2007
A comprehensive overview of basic clustering algorithms
G Fung
Structure learning in random fields for heart motion abnormality detection
M Schmidt, K Murphy, G Fung, R Rosales
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Finite Newton method for Lagrangian support vector machine classification
G Fung, OL Mangasarian
Neurocomputing 55 (1-2), 39-55, 2003
From transformation-based dimensionality reduction to feature selection
M Masaeli, G Fung, JG Dy
ICML, 2010
Multiple instance learning for computer aided diagnosis
G Fung, M Dundar, B Krishnapuram, RB Rao
Advances in neural information processing systems 19, 425, 2007
Systems and methods for automated diagnosis and decision support for breast imaging
S Krishnan, RB Rao, M Dundar, G Fung
US Patent 7,640,051, 2009
Privacy-preserving classification of vertically partitioned data via random kernels
OL Mangasarian, EW Wild, GM Fung
ACM Transactions on Knowledge Discovery from Data (TKDD) 2 (3), 1-16, 2008
Learning from multiple annotators with varying expertise
Y Yan, R Rosales, G Fung, R Subramanian, J Dy
Machine learning 95 (3), 291-327, 2014
Comparison of Bayesian network and support vector machine models for two‐year survival prediction in lung cancer patients treated with radiotherapy
K Jayasurya, G Fung, S Yu, C Dehing‐Oberije, D De Ruysscher, A Hope, ...
Medical physics 37 (4), 1401-1407, 2010
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