Support vector machine (SVM) is one of the most important machine learning algorithms that has been implemented mostly in pattern recognition problem, for e.g. classifying the network traffic and also in image processing for recognition . Lots of research is going on in this technique for the improvement of Qos (quality of service) and in security perspective. The latest works in this field hav...

The support vector machine (SVM) algorithm (Cortes and Vapnik, 1995) is probably the most widely used kernel learning algorithm. It achieves relatively robust pattern recognition performance using well-established concepts in optimization theory. Despite this mathematical classicism, the implementation of efficient SVM solvers has diverged from the classical methods of numerical optimization. T...

High-speed railway is a very important part of transportation industry in China, and travel choice has key effect on the development of high-speed railway. Therefore,research on travel behavior of passengers and prediction their travel choice, will offer valuable suggestion for high-speed railway running. In this paper, support vector machine (SVM) is the main method being used to predict. Supp...

In this paper, two vector control systems for investigating the performance of Static Synchronous Series Compensators (SSSC) in steady state conditions are presented that are based on famous d-q axis theory. The workability of proposed method to simplify the SSSC mathematical expressions is shown. The performance of SSSC with two different vector controllers, first based on d-q line current...

Twitter has become one of the most popular micro-blogging platform, recently. Millions of users can share their thoughts and opinions about various aspects and activites. Therefore, twitter considered as a rich source of information for decision-making and sentiment analysis. In this case, the sentiment is aimed to overcome the problem of automatically classifying user tweets into positive opin...

This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using support vector machine. Weka software and a movie review database from Internet Movie Database IMDb were used. This work uses preprocessing filters and WRAPPER techniques and Support Vector Machine (SVM) for classification. It presents better resu...

structural repetitive subsequences are most important portion of biological sequences, which play crucial roles on corresponding sequence’s fold and functionality. biggest class of the repetitive subsequences is “transposable elements” which has its own sub-classes upon contexts’ structures. many researches have been performed to criticality determine the structure and function of repetitive su...

——————————————————————————————– Abstract: In this paper, we study the support vector machine and introduced the notion of generalized support vector machine for classification of data. We show that the problem of generalized support vector machine is equivalent to the problem of generalized variational inequality and establish various results for the existence of solutions. Moreover, we provide...