Incremental Support Vector Learning: Analysis Implementation And Applications Export

@article{laskov:incremental, abstract = {Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM learning, with the aim of providing a fast, numerically stable and robust implementation. A detailed analysis of convergence and of algorithmic complexity of incremental SVM learning is carried out. Based on this analysis, a new design of storage and numerical operations is proposed, which speeds up the training...}, author = {Laskov, Pavel and Gehl, Christian and Kruger, Stefan and Muller, Klaus-Robert}, citeulike-article-id = {1277837}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6886}, journal = {Journal of Machine Learning Research}, keywords = {\_paper3, incremental, learning, svm}, pages = {1909--1936}, posted-at = {2009-03-25 04:22:54}, priority = {0}, title = {Incremental Support Vector Learning: Analysis Implementation And Applications}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6886}, volume = {7}, year = {2006} }

TY - JOUR ID - laskov:incremental L3 - citeulike-article-id:1277837 N2 - Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM learning, with the aim of providing a fast, numerically stable and robust implementation. A detailed analysis of convergence and of algorithmic complexity of incremental SVM learning is carried out. Based on this analysis, a new design of storage and numerical operations is proposed, which speeds up the training... JF - Journal of Machine Learning Research EP - 1936 TI - Incremental Support Vector Learning: Analysis Implementation And Applications VL - 7 SP - 1909 KW - _paper3 KW - incremental KW - learning KW - svm AU - Laskov, Pavel AU - Gehl, Christian AU - Kruger, Stefan AU - Muller, Klaus-Robert PY - 2006/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6886 ER -