The more tourist objects are in an area, the challenging it is for local governments to increase selling value of these attractions. government always strives develop attraction areas by prioritizing beauty However, visitors often have difficulty determining that match their criteria because many choices. research developed a recommendation system applying machine learning techniques. technique...

The ‘perturbation source method’ (PSM) is a Monte Carlo perturbation method that calculates an exact k-eigenvalue change caused by cross-section changes. Although the PSM, which can consider effect of fission perturbation, was proposed long ago, it has garnered minimal interest as method. applicability PSM not been thoroughly elucidated hitherto. This study revisits and reviews associated algor...

In this paper, a novel prototype reduction algorithm is proposed, which aims at reducing the storage requirement and enhancing the online speed while retaining the same level of accuracy for a K-nearest neighbor (KNN) classifier. To achieve this goal, our proposed algorithm learns the weighted similarity function for a KNN classifier by maximizing the leave-one-out cross-validation accuracy. Un...