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https://isn.ucsd.edu/pub/papers/nips00_inc.pdf
versible, and decremental “unlearning” offers an efficient method to ex-actly evaluate leave-one-outgeneralization performance. Interpretation of decremental unlearning in feature space sheds light on the relationship between generalization and geometry of the data. 1 Introduction Training a support vector machine (SVM) requires solving a ...
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 …
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.researchgate.net/publication/2373982_Incremental_and_Decremental_Support_Vector_Machine_Learning
An adiabatic incremental support vector machine (SVM) learning paradigm was introduced in [4]. A method known as bookkeeping was proposed to compute the …
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 …
https://www.researchgate.net/publication/312532410_Incremental_and_decremental_support_vector_machine_learning
Incremental and decremental support vector machine learning Article in Advances in neural information processing systems 13(5):409-412 · January 2001 …
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