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https://www.researchgate.net/publication/220907326_Efficient_Multiplicative_Updates_for_Support_Vector_Machines
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https://www.cs.unm.edu/~pliz/research/papers/pdf/musik_talk.pdf
Efficient multiplicative updates for SVM Sergey Plis Computer Science Department ... 1 Introduction Support Vector Machines Non-negative Matrix Factorization NQP 2 SVM as NMF 3 Experiments 2/45. Introduction Outline 1 Introduction Support Vector Machines ... Efficient multiplicative updates for SVM
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.566.6514
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The dual formulation of the support vector machine (SVM) objective function is an instance of a nonnegative quadratic programming problem. We reformulate the SVM objective function as a matrix factorization problem which establishes a connection with the regularized nonnegative matrix fac-torization (NMF) problem.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.1814
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The dual formulation of the support vector machine (SVM) objective function is an instance of a nonnegative quadratic programming problem. We reformulate the SVM objective function as a matrix factorization problem which establishes a connection with the regularized nonnegative matrix factorization (NMF) problem.
https://www.researchgate.net/publication/220928574_Multiplicative_Update_Rules_for_Multilinear_Support_Tensor_Machines
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https://epubs.siam.org/doi/abs/10.1137/1.9781611972795.104
Proceedings of the 2009 SIAM International Conference on Data Mining > 10.1137/1.9781611972795.104 Manage this Paper. Add to my favorites. Download Citations. Track Citations. Recommend & Share. Recommend to Library. Email to a friend Facebook Twitter CiteULike Newsvine Digg This Delicious. Notify Me! E-mail Alerts ...
https://core.ac.uk/display/21752791
Efficient Multiplicative updates for Support Vector Machines . By Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun and Terran Lane. Abstract. The dual formulation of the support vector machine (SVM) objective function is an instance of a nonnegative quadratic programming problem. ... Multiplicative updates that we derive for ...
https://www.sciencedirect.com/science/article/pii/S0031320311004547
Multiplicative update rules for incremental training of multiclass support vector machines ... We present a new method for the incremental training of multiclass support vector machines that can simultaneously modify each class separating hyperplane and provide computational efficiency for training tasks where the training data collection is ...Cited by: 8
https://core.ac.uk/display/13725105
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https://patents.google.com/patent/US7478074B2/en
A method for operating a computer as a support vector machine (SVM) in order to define a decision surface separating two opposing classes of a training set of vectors. The method involves associating a distance parameter with each vector of the SVM's training set. The distance parameter indicates a distance from its associated vector, being in a first class, to the opposite class.Cited by: 4
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