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https://www.researchgate.net/publication/220907274_Localized_Support_Vector_Machine_and_Its_Efficient_Algorithm
Request PDF Localized Support Vector Machine and Its Efficient Algorithm Nonlinear Support Vector Machines employ sophisticated kernel functions to classify data sets with complex decision ...
https://www.researchgate.net/publication/220073328_Efficient_Algorithm_for_Localized_Support_Vector_Machine
Localized Support Vector Machine (LSVM) with an efficient algorithm called Profile SVM efficiently classified data by extracting smaller clusters which achieved comparable accuracy on both ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.5504
Instead of fitting a nonlinear model, this paper presents a framework called Localized Support Vector Machine (LSVM), which builds multiple linear SVM models from the training data. Since each model is designed to classify a particular test example, it has high computational cost.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.8143
Instead of fitting a nonlinear model, this paper presents a framework called Localized Support Vector Machine (LSVM), which builds multiple linear SVM models from the training data. Since each model is designed to classify a particular test example, it has high computational cost.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4912200
Abstract: This paper presents a framework called localized support vector machine (LSVM) for classifying data with nonlinear decision surfaces. Instead of building a sophisticated global model from the training data, LSVM constructs multiple linear SVMs, each of which is designed to accurately classify a given test example.
https://www.academia.edu/24606499/Localized_Support_Vector_Machine_and_Its_Efficient_Algorithm
Localized Support Vector Machine and Its Efficient Algorithm
https://core.ac.uk/display/21738457
Localized support vector machine and its efficient algorithm . By Haibin Cheng, ... this paper presents a framework called Localized Support Vector Machine (LSVM), which builds multiple linear SVM models from the training data. Since each model is designed to classify a particular test example, it has high computational cost. ... To overcome ...Author: Haibin Cheng, Pang-ning Tan and Rong Jin
http://www.cse.msu.edu/~ptan/papers/tkde-lsvm.pdf
Efficient Algorithm for Localized Support Vector Machine Haibin Cheng, Pang-Ning Tan,Member, IEEE, and Rong Jin, Member, IEEE Abstract—This paper presents a framework called Localized Support Vector Machine (LSVM) for classifying data with nonlinear decision surfaces.
https://link.springer.com/article/10.1007/s10489-016-0886-8
Abstract. Twin support vector machine (TWSVM) is an efficient supervised learning algorithm, proposed for the classification problems. Motivated by its success, we propose Tree-based localized fuzzy twin support vector clustering (Tree-TWSVC).Cited by: 5
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