Analysis, Implementation and Applications Pavel Laskov  Home/Search
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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... (Update)
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BibTeX entry: (Update)
@misc{ and-journal,
author = "Analysis Implementation And",
title = "Journal of Machine Learning Research 7 (2006) 1909--1936 Submitted 10/05;
Revised 3/06; Published 9/06 Incremental Support Vector Learning:",
url = "citeseer.ist.psu.edu/759798.html" }
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