The support vector machine (SVM) is known for its good performance in two-class classification, but its extension to multiclass classification is still an ongoing research issue. In this article, we ...

Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

Staple Food is a necessity that is needed by the people of Indonesia. This is very sensitive when there is an increase or decrease in the price of basic foodstuffs. In the calculations at the ...

Coal price prediction is needed as one of the supports for coal industry to make transaction. Prediction result can be used to make next budgeting for the buyer or manage the profit for the seller. We ...

In the proposed model, the support vector regression is used to create the prediction model, whereas the Levy flight-based grey wolf optimizer algorithm is employed to search the penalty and kernel ...

Dr. James McCaffrey of Microsoft Research uses code samples, a full C# program and screenshots to detail the ins and outs of kernal logistic regression, a machine learning technique that extends ...

Recently, support vector machine (SVM) has been extensively applied to various areas to overcome the problem of non-linear relationships and predictions [11]- [13]. There are two main categories for ...