On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm

The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learning task

• Type: Conference
• Year: 2006
• Where: AUSDM
• Authors: Tatjana Eitrich, Bruno Lang
• Keywords: AUSDM 2006, Data Mining, Support Vector Machine, Working Set, Working Set Size