Active Bibliography

1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
399 Large margin methods for structured and interdependent output variables – Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun - 2005
540 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
432 Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data – Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler - 2000
307 Pegasos: Primal Estimated sub-gradient solver for SVM – Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter
1279 Machine Learning in Automated Text Categorization – Fabrizio Sebastiani - 2002
649 A Comparison of Methods for Multiclass Support Vector Machines – Chih-Wei Hsu, Chih-Jen Lin - 2002
562 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
583 Learning the Kernel Matrix with Semi-Definite Programming – Gert R. G. Lanckriet, Nello Cristianini, Laurent El Ghaoui, Peter Bartlett, Michael I. Jordan - 2002