2 Description 2 2.1 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Learning from CRM-contained information to predict new regulatory features . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2.1 Building the training set . . . . . . . . . . . . . . . . . . . 2 2.2.2 Optimization of support vector machine model . . . . . . 3 2.2.3 Definition of the opti...

For addressing the growing problem of junk E-mail on the Internet, this paper proposes an effective E-mail classifying technique. Our work handles E-mail messages as semi-structured documents consisting of a set of fields with predefined semantics and a number of variable length free-text contents. The main contributions of this paper include the following: First, we present a Support Vector Ma...

⎯Due to the lack of a structure way in determining the free parameters of support vector machines (SVMs), this study uses genetic algorithms (GAs) to select parameters of SVMs. In addition, the developed SVMG (support vector machine with genetic algorithms) model is applied to reliability prediction. Two numerical examples in the literature are employed to illustrate the performances of various...

An architecture for fast video object recognition is proposed. This architecture is based on an approximation of featureextraction function: Zernike moments and an approximation of a classification framework: Support Vector Machines (SVM). We review the principles of the moment-based method and the principles of the approximation method: dithering. We evaluate the performances of two moment-bas...

This paper describes our SVM-based system and the techniques we used to adapt the approach for the specifics of the F-term patent classification subtask at NTCIR-6 Patent Retrieval Task. Our system obtained the best results according to two of the three measures used for performance evaluation. Moreover, the results from some additional experiments demonstrate that our system has benefited from...

Fingerprint identification is one of the most well-known exposed biometrics, because of their uniqueness, distinctiveness and consistency over time. It is the method of identifying an individual and it can be used in various commercial, government and forensic application, such as, medical records, criminal investigation, cloud computing communication etc. In cloud computing communications, inf...

Feature ranking is useful to gain knowledge of data and identify relevant features. This article explores the performance of combining linear support vector machines with various feature ranking methods, and reports the experiments conducted when participating the Causality Challenge. Experiments show that a feature ranking using weights from linear SVM models yields good performances, even whe...

In Speaker verification task, it is necessary to calculate the performance of the speaker verification system; there are many systems available for the speaker verification task which uses the different type of modeling schemes like generative modeling and discriminative modeling. We are using discriminative modeling with the help of Support vector machine for speaker verification task. We prop...

Scene matching is the process of locating a region of an image with the corresponding region of another image where both image regions represent the same scene. Although a lot of algorithms have appeared on scene matching, performance analysis is usually based on simple statistic experiment and performed simply and visually, and little attention has been given to evaluate performance of differe...