scholarly journals Inferring linear and nonlinear Interaction networks using neighborhood support vector machines

Author(s):  
Kamel Jebreen ◽  
Mohamad Motasem Nawaf ◽  
Amjad Barham ◽  
Badih Ghattas
2007 ◽  
Vol 19 (5) ◽  
pp. 1155-1178 ◽  
Author(s):  
Olivier Chapelle

Most literature on support vector machines (SVMs) concentrates on the dual optimization problem. In this letter, we point out that the primal problem can also be solved efficiently for both linear and nonlinear SVMs and that there is no reason for ignoring this possibility. On the contrary, from the primal point of view, new families of algorithms for large-scale SVM training can be investigated.


2018 ◽  
Author(s):  
Nelson Marcelo Romero Aquino ◽  
Matheus Gutoski ◽  
Leandro Takeshi Hattori ◽  
Heitor Silvério Lopes

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