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https://isn.ucsd.edu/pub/papers//nips00_inc.pdf
hwhere is the number of margin support vectors, ÔÕ]. 3 Decremental “Unlearning” Leave-one-out(LOO) is a standard procedure in predicting the generalization power of a trained classifier , both from a theoretical and empirical perspective [12]. It is naturally implemented by decremental unlearning, adiabatic reversal of incremental ...
http://papers.nips.cc/paper/1814-incremental-and-decremental-support-vector-machine-learning.pdf
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the Kuhn Tucker conditions on all previously seen training data, in a number of steps each computed analytically. The incremental procedure is re versible, and decremental "unlearning" offers an efficient ...
https://www.academia.edu/14378308/Incremental_and_Decremental_Support_Vector_Machine_Learning
Incremental and Decremental Support Vector Machine Learning Gert Cauwenberghs Tomaso Poggio CLSP, ECE Dept. CBCL, BCS Dept. Johns Hopkins University Massachusetts Institute of Technology Baltimore, MD 21218 Cambridge, MA 02142 [email protected] [email protected] Abstract An on-line recursive algorithm for training support vector machines, one vector at a time, is presented.
https://www.semanticscholar.org/paper/Incremental-and-Decremental-Support-Vector-Machine-Cauwenberghs-Poggio/e3948c28d605e0d90e88e160556cfc14fbba57c8
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the Kuhn-Tucker conditions on all previously seen training data, in a number of steps each computed analytically. The incremental procedure is reversible, and decremental "unlearning" offers an efficient method to exactly evaluate leave-one-out generalization ...
https://www.researchgate.net/publication/2373982_Incremental_and_Decremental_Support_Vector_Machine_Learning
Incremental and Decremental Support Vector Machine Learning ... and decremental "unlearning" offers an efficient method to exactly evaluate leave-one-out generalization performance ...
https://dl.acm.org/citation.cfm?id=3008808
Incremental and decremental support vector machine learning. Pages 388–394. Previous Chapter Next Chapter. ABSTRACT. An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the Kuhn-Tucker conditions on all previously seen training data, in a number of steps each ...Cited by: 1444
https://www.researchgate.net/publication/312532410_Incremental_and_decremental_support_vector_machine_learning
Needless to say, a procedure of that kind is computationally complex, even for classifiers that can be trained and "detrained" incrementally (such as incremental and decremental support vector ...
https://researcher.watson.ibm.com/researcher/files/us-wangshiq/WHL_ICIP2019.pdf
EXACT INCREMENTAL AND DECREMENTAL LEARNING FOR LS-SVM Wei-Han Lee1, Bong Jun Ko1, Shiqiang Wang1, Changchang Liu1, Kin K. Leung2 1IBM T. J. Watson Research Center, Yorktown Heights, NY, USA 2Imperial College London, UK ABSTRACT In this paper, we present a novel incremental and decremental learning method for the least-squares support
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