We propose an innovative learning algorithm for a support vector machine to be robust. As learning patterns it uses not only the prescribed learning patterns but also their neighbour patterns. The size of the proposed optimization problem to be solved is the same as the original one. Many simulations show the effectiveness of the proposed algorithm. © Springer-Verlag 2004.
CITATION STYLE
Guo, J., Takahashi, N., & Nishi, T. (2004). A learning method for robust support vector machines. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3173, 474–479. https://doi.org/10.1007/978-3-540-28647-9_79
Mendeley helps you to discover research relevant for your work.