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77.988  Articles
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Support Vector Machines (SVM) is a set of popular machine learning algorithms which have been successfully applied in diverse aspects, but for large training data sets the processing time and computational costs are prohibitive. This paper presents a nove... see more

Choosing a supplier or supplier is an important factor for running a business because suppliers can affect the availability of goods, quality, and profits from the business. However, the selection of suppliers is a complicated problem in business because ... see more

Support vector machine (SVM) is a popular classification technique with many diverse applications. Parameter determination and feature selection significantly influences the classification accuracy rate and the SVM model quality. This paper proposes two n... see more

The authors proposed a support system for university students to create their own course schedules with informal information using semantic web technology. The system provides course information, such as syllabus, students' assessment scores and informal ... see more

At this time sentiment analysis is very widely used by people to see the extent of people's sentiments towards an object.  Objects that can be used in sentiment analysis can be various kinds, for example about the product regarding receipt by consume... see more

With the rapid development of China's economy in recent years, the scale of students has expanded gradually, which has led to many new problems, including the problems of the quality and the quantity of teachers, and the teaching facilities being insuffic... see more

Telah banyak peneliti-peneliti termotivasi dalam meningkatkan kinerja performa prediksi. Support Vector Machine (SVM) metode yang berlandaskan pada teori pembelajaran statistic dan memberi hasil yang menjanjikan akan lebih baik dibanding metode lain. SVM ... see more

The single index support vector regression model (SI-SVR) is a useful regression technique used to alleviate the problem of high-dimensionality. In this paper, we propose a robust variable selection technique for the SI-SVR model by using vital method to ... see more

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