Selective linear and nonlinear classification

[1]  Chih-Jen Lin,et al.  A Practical Guide to Support Vector Classication , 2008 .

[2]  Panos M. Pardalos,et al.  Detecting Categorical Discrimination in a Visuomotor Task Using Selective Support Vector Machines , 2007, BIOCOMP.

[3]  Soushan Wu,et al.  Credit rating analysis with support vector machines and neural networks: a market comparative study , 2004, Decis. Support Syst..

[4]  Bernhard Schölkopf,et al.  Support vector channel selection in BCI , 2004, IEEE Transactions on Biomedical Engineering.

[5]  Bernhard Schölkopf,et al.  Kernel Methods in Computational Biology , 2005 .

[6]  Nello Cristianini,et al.  Kernel Methods for Pattern Analysis , 2004 .

[7]  Touradj Ebrahimi,et al.  Joint Time-Frequency-Space Classification of EEG in a Brain-Computer Interface Application , 2003, EURASIP J. Adv. Signal Process..

[8]  Thomas Gärtner,et al.  Multi-Instance Kernels , 2002, ICML.

[9]  Jun Wang,et al.  Solving the Multiple-Instance Problem: A Lazy Learning Approach , 2000, ICML.

[10]  Nello Cristianini,et al.  An introduction to Support Vector Machines , 2000 .

[11]  D Haussler,et al.  Knowledge-based analysis of microarray gene expression data by using support vector machines. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[13]  B. Schölkopf,et al.  Advances in kernel methods: support vector learning , 1999 .

[14]  Thorsten Joachims,et al.  Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.

[15]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[16]  Alexander J. Smola,et al.  Learning with kernels , 1998 .

[17]  Federico Girosi,et al.  An improved training algorithm for support vector machines , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

[18]  Peter Auer,et al.  On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach , 1997, ICML.

[19]  Thomas G. Dietterich,et al.  Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..

[20]  Philip M. Long,et al.  PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples , 1996, COLT '96.