Publication: Gender identification using support vector machines
Date
2010
Authors
Nur Ayuni Binti Jalaluddin
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Abstract
This research study discusses about the gender identification and it is using support vector machines to meet the objective. Support vector machine (SVM) is a popular technique for classification. It is one of the recent methods for statistical learning and also addresses classification and regression problems. It can be considered as an alternative to neural networks. This thesis is introduces SVM theory application and its algorithmic implementations.
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Keywords
System identification , Identity (Psychology)