Waste management is an issue of grave concern in the modern urban scenario with the
exponentially rising population. Over the past few decades, the Korean government has …

Ordinal regression (OR) aims to solve multiclass classification problems with ordinal
classes. Support vector OR (SVOR) is a typical OR algorithm and has been extensively used …

Ordinal learning (OL) is a type of machine learning models with broad utility in health care
applications such as diagnosis of different grades of a disease (eg, mild, modest, severe) …

It never happened before in human history the spreading of fake news; now, the
development of the Worldwide Web and the adoption of social media have given a pathway …

The main aim of the study is to improve the prediction rate in fake news detection. A novel
Learning Vector Quantization (LVQ) with hamming distance is proposed for effective …

Air temperature is closely related to daily life, and accurate temperature forecast can
improve efficient production and convenient living. Currently, in terms of temperature …

Applications utilizing simulation tools play a significant role in building design, demand
response and building's performance optimization. In this paper a set of regression …

Ordinal regression has been widely used in applications, such as credit portfolio
management, recommendation systems, and ecology, where the core task is to predict the …

Online learning is a classical algorithm for optimization problems. Due to its low
computational cost, it has been widely used in many aspects of machine learning and …

Artificial intelligence and machine learning have become one of the fastest growing and
most popular fields in technology today. Classification algorithms constitute one of the …