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https://www.researchgate.net/publication/28351958_Incremental_Learning_with_Support_Vector_Machines
Support Vector Machines (SVMs) have become a popular tool for learning with large amounts of high dimensional data. However, it may sometimes be preferable to learn incrementally from previous SVM ...Author: Stefan Rüping
https://isn.ucsd.edu/pub/papers/nips00_inc.pdf
Incremental and Decremental Support Vector Machine Learning Gert Cauwenberghs CLSP, ECE Dept. Johns Hopkins University Baltimore, MD 21218 [email protected] Tomaso Poggio CBCL, BCS Dept. Massachusetts Institute of Technology Cambridge, MA 02142 [email protected] Abstract An on-linerecursive algorithm for training support vector machines, one
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.6367
Incremental learning techniques are one possible solution to the scalability problem, where data is processed in parts, and the result combined so as to use less memory. Support Vector Machines (SVMs) have worked well for the batch mode learning and have shown impressive performance in many practical applications.
http://www.stefan-rueping.de/publications/rueping-2001-b.pdf
to be an effective tool for incremental learning by compress-ing the data of the previous batches to their Support Vectors. This approach to incremental learning with Support Vector Machines has been investigated in [Syed et al., 1999b] where it has been shown that incrementally trained Support Vec-
https://www.semanticscholar.org/paper/Incremental-Learning-with-Support-Vector-Machines-R%C3%BCping/7b5440285956e5d2ff848583775de35c089cc12f
Support Vector Machines (SVMs) have become a popular tool for learning with large amounts of high dimensional data. However, it may sometimes be preferable to learn incrementally from previousSVM results, as computing a SVM is very costly in terms of time and memory consumption or because the SVM may be used in an online learning setting. In this paper an approach for incremental learning …
https://dl.acm.org/citation.cfm?id=657865
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 [3 ].Cited by: 676
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