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https://www.researchgate.net/publication/7060925_A_bottom-up_method_for_simplifying_support_vector_solutions
A bottom-up method for simplifying support vector solutions Article (PDF Available) in IEEE Transactions on Neural Networks 17(3):792-6 · June 2006 with 75 Reads How we measure 'reads'
https://www.ncbi.nlm.nih.gov/pubmed/16722181
1. IEEE Trans Neural Netw. 2006 May;17(3):792-6. A bottom-up method for simplifying support vector solutions. Nguyen D, Ho T. The high generalization ability of support vector machines (SVMs) has been shown in many practical applications, however, they are considerably slower in test phase than other learning approaches due to the possibly big number of support vectors comprised in their solution.Cited by: 22
https://core.ac.uk/display/58960389
A Bottom-Up Method for Simplifying Support Vector Solutions . ... they are considerably slower in test phase than other learning approaches due to the possibly big number of support vectors comprised in their solution. In this letter, we describe a method to reduce such number of support vectors. ... support vector machines (SVMs ...Author: DucDung Nguyen and Tu Bao Ho
https://icml.cc/Conferences/2005/proceedings/papers/078_Efficient_NguyenHo.pdf
we describe a simpler and more efficient method for simplifying support vector solutions. 3. The Bottom-up Method 3.1. Simplification of Two Support Vectors The solution of SVMs can be analyzed from a mechan-ical point of view: if each image of support vectors ex-erts a force F i = α iΨ on the decision hyperplane, thenˆ
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000001629100
The high generalization ability of support vector machines (SVMs) has been shown in many practical applications, however, they are considerably slower in test phase than other learning approaches due to the possibly big number of support vectors comprised in their solution. In this letter, we describe a method to reduce such number of support vectors. The reduction process iteratively selects ...Cited by: 22
https://www.researchgate.net/publication/251857288_A_Fast_Two-Stage_Classification_Method_of_Support_Vector_Machines
A Fast Two-Stage Classification Method of Support Vector Machines ... A bottom-up method for simplifying support vector solutions ... due to the possibly big number of support …
https://www.researchgate.net/publication/221345894_An_efficient_method_for_simplifying_support_vector_machines
An efficient method for simplifying support vector machines. ... An Efficient Method for Simplifying Support Vector Mac hines. ... The Bottom-up Method.
https://dl.acm.org/citation.cfm?id=1102429
An efficient method for simplifying support vector machines. Full Text: Pdf Get ... paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The reduction process iteratively selects two nearest support vectors belonging to the same class ...Cited by: 77
https://dl.acm.org/doi/10.1016/j.patcog.2016.02.018
Support vector machines (SVMs) play a very dominant role in data classification because of their good generalization performance. However, they suffer from the high computational complexity in the classification stage when there are a considerable number of support vectors (SVs).
https://www.researchgate.net/publication/220906690_Twin_Vector_Machines_for_Online_Learning_on_a_Budget
Twin Vector Machines for Online Learning on a Budget. ... a closed-form solution was derived for the support vector removal and model update. Using the hinge loss we developed several budgeted PA ...
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