Find all needed information about Nonconvex Online Support Vector Machines. Below you can see links where you can find everything you want to know about Nonconvex Online Support Vector Machines.
https://www.researchgate.net/publication/224141988_Nonconvex_Online_Support_Vector_Machines
In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers.
https://dl.acm.org/citation.cfm?id=1936584
In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers. Then, again in the online learning setting, we propose an outlier ...Cited by: 108
https://ieeexplore.ieee.org/document/5473234/
May 27, 2010 · Abstract: In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers. Then, again in the online learning setting, we propose an outlier filtering mechanism (LASVM-I) based on approximating nonconvex behavior in convex optimization.Cited by: 108
http://web.mit.edu/seyda/www/Papers/2009_a.pdf
Ignorance is Bliss: Non-Convex Online Support Vector Machines informativeness of the data prior to the processing by the learner becomes possible. We implement an online SVM training with non-convex loss function (LASVM-NC), which yields a significant speed improvement in training and builds a sparser model, hence resulting in
https://www.semanticscholar.org/paper/Nonconvex-Online-Support-Vector-Machines-Ertekin-Bottou/04c348d4fd08fddf5912a6ed946109a297708789
In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers. Then, again in the online learning setting, we propose an outlier filtering mechanism (LASVM-I) based on approximating nonconvex behavior in convex optimization. These two algorithms are built upon …
https://core.ac.uk/display/22005134
Abstract. Abstract—In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers.
https://avesis.metu.edu.tr/yayin/8de8e3c2-a3ed-4a58-bab5-08cbf4b71697/nonconvex-online-support-vector-machines
In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers. Then, again in the online learning setting, we propose an outlier filtering mechanism (LASVM-I) based on approximating nonconvex behavior in convex ...Cited by: 108
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.8530
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—In this paper, we propose a nonconvex online Support Vector Machine (SVM) algorithm (LASVM-NC) based on the Ramp Loss, which has the strong ability of suppressing the influence of outliers. Then, again in the online learning setting, we propose an outlier filtering mechanism (LASVM-I) based on approximating ...
https://academic.oup.com/bioinformatics/article/22/1/88/218231
Oct 25, 2005 · Results: In this paper we develop a novel type of regularization in support vector machines (SVMs) to identify important genes for cancer classification. A special nonconvex penalty, called the smoothly clipped absolute deviation penalty, is imposed on the hinge loss function in the SVM.Cited by: 295
https://www.academia.edu/1151273/Non-Convex_Online_Support_Vector_Machines
Non-Convex Online Support Vector Machines
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