As a key preprocessing step in classification, feature selection involves two conflicting
objectives: maximizing the classification accuracy and minimizing the number of selected …

Neighborhood rough set (NRS) is an important tool for granular computing. It can handle
discrete and continuous data without a prior discretization. However, the definitions of NRS …

Abstract Information gain, as an important feature measure, plays a vital role in the process
of feature selection. Most of existing information gain-based feature selection algorithms are …

Feature selection is an effective dimensionality reduction technique for classification tasks.
Monotonic classification task (MCT) is a special classification task in which features and …

In an increasingly competitive market, predicting the customer's consumption behavior has a
vital role in customer relationship management. In this study, a new classifier for customer …

Artificial intelligence (AI) technology has huge scope in developing models to predict the
survival rate of critically ill patients in the intensive care unit (ICU). The availability of …

High-dimensional non-Gaussian data is widely found in the real world, such as in face
recognition, facial expressions, document recognition, and text processing. Linear …

As heavy-tailed distributions are ubiquitous in many real applications, robust regression has
been extensively applied in machine learning and exhibits the superiority in deal with heavy …

Fuzzy mathematics‐informed methods are beneficial in cases when observations display
uncertainty and volatility since it is of vital importance to make predictions about the future …

Abstract Quantitative Structure-Activity Relationship (QSAR) is a method that relates the
chemical composition of a molecule to its biochemical, pharmaceutical and biological …