Research for SVM Classification using MATLAB at QUAD SOFTWARES - Tamil Nadu - Education, training, lessons, Tamil Nadu - 2279137

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Research for SVM Classification using MATLAB at QUAD SOFTWARES - Education, training, lessons

Ref. number: 2279137 Updated: 18-07-2016 13:59

Offering: Education, training, lessons in India, Tamil Nadu

Research for SVM Classification using MATLAB at QUAD SOFTWARES Vadapalani SVM is a useful technique for data classification. Even though it’s considered that Neural Networks are easier to use than this, however, sometimes unsatisfactory results are obtained. A classification task usually involves with training and testing data which consist of some data instances. Each instance in the training set contains one target values and several attributes. The goal of SVM is to produce a model which predicts target value of data instances in the testing set which are given only the attributes. Classification in SVM is an example of Supervised Learning. Known labels help indicate whether the system is performing in a right way or not. This information points to a desired response, validating the accuracy of the system, or be used to help the system learn to act correctly. A step in SVM classification involves identification as which are intimately connected to the known classes. This is called feature selection or feature extraction. Feature selection and SVM classification together have a use even when prediction of unknown samples is not necessary. They can be used to identify key sets which are involved in whatever processes distinguish the classes. For more information Pls contact us: With Regards, N. Mala QUAD SOFTWARES, OLD NO.46/1, NEW NO.122, PILLAYAR KOIL STREET, PANDURANGAN COLONY, VADAPALANI, CHENNAI-600026. LANDMARK: NEAR VADAPALANI MURUGAN TEMPLE MOBILE NO: - 89390 01888, 89390 01666, 98844 81399 PHONE NO: - 044-42618280

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