Two Criteria for Model Selection in Multiclass Support Vector Machines

15 years 2 months ago

Download users.cecs.anu.edu.au

Abstract--Practical applications call for efficient model selection criteria for multiclass support vector machine (SVM) classification. To solve this problem, this paper develops two model selection criteria by combining or redefining the radius

Lei Wang, Ping Xue, Kap Luk Chan

Real-time Traffic

Binary Svms | Model Selection | Model Selection Criteria | TSMC 2008 |

claim paper

» Multiclass relevance vector machines sparsity and accuracy

» Scaling multiclass support vector machines using interclass confusion

» Multiprototype Support Vector Machine

» HalfAgainstHalf Multiclass Support Vector Machines

» Support Vector Methods for Sentence Level Machine Translation Evaluation

» LeaveOneOut CrossValidation Based Model Selection Criteria for Weighted LSSVMs

» Variant Methods of Reduced Set Selection for Reduced Support Vector Machines

» Degeneracy in model selection for SVMs with radial Gaussian kernel

Post Info
More Details (n/a)

Added	15 Dec 2010
Updated	15 Dec 2010
Type	Journal
Year	2008
Where	TSMC
Authors	Lei Wang, Ping Xue, Kap Luk Chan

Comments (0)

Sciweavers

Two Criteria for Model Selection in Multiclass Support Vector Machines

Binary Svms | Model Selection | Model Selection Criteria | TSMC 2008 |

Explore & Download

Productivity Tools

Sciweavers