Cost-sensitive learning in Support Vector Machines (2002)

by Giorgio Fumera , Fabio Roli
Venue:In VIII Convegno Associazione Italiana per L’Intelligenza Artificiale
Citations:6 - 0 self

Active Bibliography

9 Support Vector Machines with Embedded Reject Option – Giorgio Fumera, Fabio Roli
ACKNOWLEDGEMENTS – Et Des Mathematiques, Spécialité Automatique, Abdul Rahim Ahmad, Ogier Professeur, Universite De La Rochelle, Chee Peng Lim, Universiti Sains Malaysia, Examinateurs Sheikh, Hussain Shaikh, Salleh Professeur, Universiti Teknologi Malaysia, Patrick Le Callet, Universite De Nantes, Marzuki Khalid, Christian Viard-gaudi N, Universite De Nantes - 2009
28 New results on error correcting output codes of kernel machines – Andrea Passerini, Massimiliano Pontil, Paolo Frasconi - 2004
74 Support vector machines for speech recognition – Aravind Ganapathiraju, Jonathan Hamaker, Joseph Picone - 1998
19 Bayesian framework for least squares support vector machine classifiers, Gaussian processes and kernel fisher discriminant analysis – Tony Van Gestel, Johan A. K. Suykens, Gert Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle - 2002
175 Multicategory Support Vector Machines, theory, and application to the classification of microarray data and satellite radiance data – Yoonkyung Lee, Yi Lin, Grace Wahba - 2004
1 CombNET-III: a Support Vector Machine Based Large Scale Classifier with Probabilistic Framework – Mauricio Kugler , Susumu Kuroyanagi , Anto Satriyo Nugroho , Akira Iwata - 2006
6 A probabilistic fusion approach to human age prediction – Guodong Guo, Yun Fu, Charles R. Dyer, Thomas S. Huang - 2008
23 T.: Secondary structure prediction with support vector machines – J. J. Ward, L. J. Mcguffin, B. F. Buxton, D. T. Jones
International Journal of Neural Systems Special Issue on Issue’s Topic c ○ World Scientific Publishing Company Tabu Search Model Selection for SVM – Gilles Lebrun, Christophe Charrier, Olivier Lezoray, Hubert Cardot
32 Active Learning to Recognize Multiple Types of Plankton – Tong Luo, Kurt Kramer, Dmitry B. Goldgof - 2004
4 Active learning with Support Vector Machines – Andreas Vlachos - 2004
4 BioMed Central – Bmc Bioinformatics, Ling Qin, Yixin Chen, Yi Pan, Ling Chen, Open Access - 2006
13 A tutorial on ν-Support Vector Machines – Pai-hsuen Chen, Chih-jen Lin, Bernhard Schölkopf - 2005
1 An Introductory Example – Pai-hsuen Chen, Chih-jen Lin, Bernhard Schölkopf
108 The analysis of decomposition methods for support vector machines – Chih-jen Lin, Nello Cristianini - 1999
88 Everything Old Is New Again: A Fresh Look at Historical Approaches – Ryan Michael Rifkin - 2002
470 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
Kernel Support Vector Regression with imprecise output ∗ – Emilio Carrizosa, José Gordillo, Frank Plastria - 2008