Title :
Incremental learning with support vector machines
Author_Institution :
Dept. of Comput. Sci., Dortmund Univ., Germany
Abstract :
Support vector machines (SVMs) have become a popular tool for machine learning with large amounts of high dimensional data. In this paper an approach for incremental learning with support vector machines is presented, that improves the existing approach of Syed et al. (1999). An insight into the interpretability of support vectors is also given
Keywords :
learning (artificial intelligence); learning automata; high dimensional data; incremental learning; machine learning; support vector machines; Artificial intelligence; Computer science; Machine learning; Robustness; Support vector machines; Testing; Training data;
Conference_Titel :
Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-7695-1119-8
DOI :
10.1109/ICDM.2001.989589
