Find all needed information about Multitask Twin Support Vector Machines. Below you can see links where you can find everything you want to know about Multitask Twin Support Vector Machines.
https://www.sciencedirect.com/science/article/pii/S0925231214009187
In this paper, we propose centroid twin support vector machines to overcome this disadvantage. Furthermore, inspired by the recent success of multitask learning which trains multiple related tasks simultaneously, we also extend them to the multitask learning scenario and propose multitask centroid twin support vector machines.Cited by: 18
https://www.researchgate.net/publication/262367842_Multitask_Twin_Support_Vector_Machines
Request PDF Multitask Twin Support Vector Machines Multitask learning is a learning paradigm which seeks to improve the generalization performance of a task with the help of other tasks.
https://www.sciencedirect.com/science/article/pii/S0925231219302061
3. Multi-task least squares twin support vector machine. In this paper, we assume all tasks share the common parameter to measure the relationships among tasks, which is different from one in , . Now, we also introduce mean-regularized multi-task learning into LSTWSVM. 3.1. Linear multi-task least squares twin support vector machineCited by: 3
https://pdfs.semanticscholar.org/d8e8/50566921b20800da0b9e8a755ad9d73eddec.pdf
Twin support vector machine (TWSVM) was initially designed for binary classification. However, real-world problems often require the discrimination more than two categories. To tackle multi-class classification problem, in this paper, a multiple least squares twin support vector machine is proposed. Our Multi-LSTSVM solves K quadratic
http://staff.ustc.edu.cn/~xinmei/publications_pdf/2015/Multi-task%20proximal%20support%20vector%20machine.pdf
The proximal support vector machine uses the large-margin idea as does the standard support vector machines but with looser constraints and much lower computational cost. Our multi-task proximal support vector machine inherits the merits of the proximal support vector machine and achieves better performance compared with other popular multi ...
https://www.researchgate.net/publication/330995510_Multi-task_least_squares_twin_support_vector_machine_for_classification
Inspired by the recently proposed directed multi-task twin support vector machine (DMTSVM) and the least squares twin support vector machine (LSTWSVM), we put forward a novel multi-task least ...
https://www.sciencedirect.com/science/article/pii/S0925231214009187
In this paper, we propose centroid twin support vector machines to overcome this disadvantage. Furthermore, inspired by the recent success of multitask learning which trains multiple related tasks simultaneously, we also extend them to the multitask learning scenario and propose multitask centroid twin support vector machines.Cited by: 18
https://www.researchgate.net/publication/262367842_Multitask_Twin_Support_Vector_Machines
Request PDF Multitask Twin Support Vector Machines Multitask learning is a learning paradigm which seeks to improve the generalization performance of a task with the help of other tasks.
https://www.sciencedirect.com/science/article/abs/pii/S0925231214009187
In this paper, we propose centroid twin support vector machines to overcome this disadvantage. Furthermore, inspired by the recent success of multitask learning which trains multiple related tasks simultaneously, we also extend them to the multitask learning scenario and propose multitask centroid twin support vector machines.Cited by: 18
https://shiliangsun.github.io/pubs/MCTSVM.pdf
propose centroid twin support vector machines to overcome this disadvan-tage. Furthermore, inspired by the recent success of multitask learning which trains multiple related tasks simultaneously, we also extend them to the mul-titask learning scenario and propose …
https://link.springer.com/article/10.1007/s00521-019-04628-5
Nov 29, 2019 · Xie X, Sun S (2012) Multitask twin support vector machines. In: Proceedings of the 19th international conference on neural information processing (ICONIP), pp 341–348 CrossRef Google Scholar. 44. Xie X, Sun S (2015) Multitask centroid twin support vector machines.Author: Benshan Mei, Yitian Xu
https://link.springer.com/article/10.1007/s12559-012-9179-7
Aug 21, 2012 · Twin support vector machine (TSVM) is a novel machine learning algorithm, which aims at finding two nonparallel planes for each class. In order to do so, one needs to resolve a pair of smaller-sized quadratic programming problems rather than a single large one.Cited by: 65
https://www.researchgate.net/publication/322984898_Regularized_multi-view_least_squares_twin_support_vector_machines
Request PDF Regularized multi-view least squares twin support vector machines Regularized least squares twin support vector machines are a new nonparallel hyperplane classifier, which can lead ...
https://dl.acm.org/citation.cfm?id=1263463
Xijiong Xie , Shiliang Sun, Multitask twin support vector machines, Proceedings of the 19th international conference on Neural Information Processing, November 12-15, 2012, Doha, Qatar Yitian Xu , Rui Guo, A twin hyper-sphere multi-class classification support vector machine, Journal of Intelligent & Fuzzy Systems: Applications in Engineering ...Cited by: 986
https://www.semanticscholar.org/paper/PAC-Bayes-Analysis-for-Twin-Support-Vector-Machines-Xie-Sun/605443050094a3c389e279920e0e0b53d4ac0bf3
Twin support vector machines are a powerful learning method for binary classification. Compared to standard support vector machines, they learn two hyperplanes rather than one as in standard support vector machines, and work faster and sometimes perform better than support vector machines. However, relatively little is known about their theoretical performance. As recent tightest bounds for ...
https://dl.acm.org/citation.cfm?id=2796644
We're upgrading the ACM DL, and would like your input. Please sign up to review new features, functionality and page designs.Cited by: 14
Need to find Multitask Twin Support Vector Machines information?
To find needed information please read the text beloow. If you need to know more you can click on the links to visit sites with more detailed data.
