The support vector machine is a commonly used classification method for its good performance. The processes of most of the existing methods for multi-class problem are not simple. More than one support vector machine (SVM) classifier should be trained in each of these methods. In this paper, a novel multi-class support vector machine method is presented, named the Multi-class Least Square Suppo...

The lack of faulty condition data reduces the feasibility supervised learning for fault detection or severity discrimination in new manufacturing technologies. To deal with this issue, one-class arises building binary discriminative models using only healthy data. However, these have not been extrapolated to discrimination. This paper proposes extend OCSVM, which is typically used detection, 3D...

the purpose of this research was to classify buffaloes from different areas of the two azari (west and east azarbayjan and ardabil provinces) and north (guilan province) ecotypes using support vector machine method. a total of 258 buffalo were sampled and genotyped using the axiom buffalo 90k genotyping array at the parco technologic padano lab in italy. two metric methods of cross validation a...

Roughly speaking, there is one main model of pattern recognition support vector machine, with several variants of lower popularity. On the contrary, among the di erent multi-class support vector machines which can be found in the literature, none is clearly favoured. On the one hand, they exhibit distinct statistical properties. On the other hand, multiple comparative studies between multi-clas...

In this paper, we present a simple and straightforward primal-dual support vector machine formulation to the problem of principal component analysis (PCA) in dual variables. By considering a mapping to a high-dimensional feature space and application of the kernel trick (Mercer theorem), kernel PCA is obtained as introduced by Scholkopf et al. (2002). While least squares support vector machine ...

Sentiment analysis means to classify a given review document into positive or negative polar document. Sentiment analysis research has been increased tremendously in recent times due to its large number of applications in the industry and academia. Sentiment analysis models can be used to determine the opinion of the user towards any entity or product. E-commerce companies can use sentiment ana...