Support Vector Machine (SVM) is a supervised machine learning algorithm. SVM is commonly used for classification when some of the data is already classified (e.g. heart-attack vs not heart-attack).
Basic Examples About SVM\nYou can see the effect on the result by changing the C and gamma parameters. \n ","errorMessage":null,"headerInfo":{"toc":[{"level":1,"text ...
Named Entity Recognition aims to identify and to classify rigid designators in text such as proper names, biological species, and temporal expressions into some predefined categories. There has been ...
Central Department of Computer Science and Information Technology (CDCSIT), Tribhuvan University, Kirtipur, Nepal. The term Named Entity (NE) was evolved during the sixth Message Understanding ...
A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...
Abstract: In order to increase the detection accuracy in gender classification, a pseudo-example based iterative learning approach combining support vector machine (SVM) and active appearance model ...