Support vector machines (SVMs), with their roots in Statistical Learning Theory (SLT) and
optimization methods, have become powerful tools for problem solution in machine learning …

Classification algorithm selection is an important issue in many disciplines. Since it normally
involves more than one criterion, the task of algorithm selection can be modeled as multiple …

The Matrix-Factorization (MF) based models have become popular when building
Collaborative Filtering (CF) recommenders, due to the high accuracy and scalability …

The concept of globalization has been prosperous in the past decades while manufacturing
as well as logistics have already become one of the most significant issues in the …

Project portfolio selection is one of the most important decision-making problems for most
organizations in project management and engineering management. Usually project …

Intuitionistic fuzzy information systems are generalized types of conventional fuzzy-valued
information systems. By introducing a dominance relation to intuitionistic fuzzy information …

A variety of classification algorithms for software defect detection have been developed over
the years. How to select an appropriate classifier for a given task is an important issue in …

Cardiotocography (CTG) is a simultaneous recording of fetal heart rate (FHR) and uterine
contractions (UC). It is one of the most common diagnostic techniques to evaluate maternal …

Opinion dynamics focuses on the opinion evolution in a social community. Recently, some
models of continuous opinion dynamics under bounded confidence were proposed by …

A stochastic inventory routing problem (SIRP) is typically the combination of stochastic
inventory control problems and NP-hard vehicle routing problems, which determines …