This paper briefly reviews the forces that caused the power problem, the solutions that were
applied, and what the solutions tell us about the problem. As systems became more power …

In this paper, we propose a multi-class classification method using kernel supports and a
dynamical system under differential privacy. For small datasets, kernel methods, such as …

We investigated the performance of parametric and non-parametric methods concerning the
in-sample pricing and out-of-sample prediction performances of index options. Comparisons …

Although k-means and its variants are known for their remarkable efficiency, they suffer from
a strong dependence on the prior knowledge of K and the assumption of a circle-like pattern …

In this paper, we propose a novel data stream clustering algorithm, termed SVStream, which
is based on support vector domain description and support vector clustering. In the …

This paper describes a new soft clustering algorithm in which each cluster is modelled by a
one-class support vector machine (OC-SVM). The proposed algorithm extends a previously …

Sentiment analysis, which detects the subjectivity or polarity of documents, is one of the
fundamental tasks in text data analytics. Recently, the number of documents available online …

All drivers have their own habitual choice of driving behavior, causing variations in fuel
consumption. It would be beneficial to classify these driving styles and extract the most …

Memory-based collaborative filtering (CF) makes recommendations based on a collection of
user preferences for items. The idea underlying this approach is that the interests of an …

Purpose Develo** automated methods to identify task‐driven quality assurance (QA)
procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use …