How can we select the best performing data-driven model? How can we rigorously estimate
its generalization error? Statistical Learning Theory (SLT) answers these questions by …

In every organization, performing accurate risk assessment along with consideration of
increasing accidents is a necessary tool to prevent and reduce the fatal and non-fatal …

How can we select the best performing data‐driven model? How can we rigorously estimate
its generalization error? Statistical learning theory (SLT) answers these questions by …

Abstract Model selection is an important issue in support vector machine-based recursive
feature elimination (SVM-RFE). However, performing model selection on a linear SVM-RFE …

We propose a multiple incremental decremental algorithm of support vector machines
(SVM). In online learning, we need to update the trained model when some new …

One-class support vector machines (OCSVMs) are very effective for semisupervised
anomaly detection. However, their performance strongly depends on the settings of their …

Supervised classification is an important part of corporate data mining to support decision
making in customer-centric planning tasks. The paper proposes a hierarchical reference …

Knee osteoarthritis (KOA) is a degenerative disease characterized by the deterioration of the
articular cartilage, and hyperplasia of the subchondral bone. KOA is the leading cause of …

OBJECTIVE. The purpose of this article is to assess the value of computer-aided diagnosis
(CAD) for prostate cancer detection on dynamic contrast-enhanced MRI (DCE-MRI) …

The electricity market has been widely introduced in many countries all over the world and
the study on electricity price forecast technology has drawn a lot of attention. In this paper …