Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
A Research of Reduction Algorithm for Support Vector Machine
verfasst von : Susu Liu, Limin Sun
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Support vector machine is a new field of machine learning. Generalization accuracy and response time are two important criterions of support vector machine used in practical application. It is hoped that it will minimum the number of training dataset and support vectors, simplify the algorithm realization on the condition of keeping classification accuracy. Based on the above consideration, a reduction algorithm combined SVM with KNN algorithm is presented. The experiment results show that the algorithm can reduce the number of training dataset and support vectors on the condition of keeping the classification accuracy of the original training dataset.