SVM (Support Vector Machine) is a supervised learning which is a boon in disguise to the field of machine learning. Though a number of classifier seems to exist it gives better result and recognition rates for which it is opted the most. The other brighter side of SVM is that it minimizes the empirical error and maximizes the geometric region. Neural network has weakness such that they converge...

We conducted the classification subtask at NTCIR6 Patent Retrieval Task using a system based on three document classifiers, namely, a one-vs-rest SVM classifier, multi-topic classifier, and binary Naive Bayes classifier. The multi-topic classifier was constructed on the basis of the maximum margin principle and applied to multiple F-term classification. From the experimental results, this multi...

The problem of development of the SVM classifier based on the modified particle swarm optimization has been considered. This algorithm carries out the simultaneous search of the kernel function type, values of the kernel function parameters and value of the regularization parameter for the SVM classifier. Such SVM classifier provides the high quality of data classification. The idea of particle...

In this paper we evaluate an instance-based spam filter based on the SVM nearest neighbor (SVM-NN) classifier, which combines the ideas of SVM and k-nearest neighbor. To label a message the classifier first finds k nearest labeled messages, and then an SVM model is trained on these k samples and used to label the unknown sample. Here we present preliminary results of the comparison of SVM-NN wi...

In this present paper it deals with the Gender Classification from ECG signal using Least Square Support Vector Machine (LS-SVM) and Support Vector Machine (SVM) Techniques. The different features extracted from ECG signal using Heart Rate Variability (HRV) analysis are the input to the LS-SVM and SVM classifier and at the output the classifier, classifies whether the patient corresponding to r...