Forecasting the direction and trend of stock price is an important task which helps investors
to make prudent financial decisions in the stock market. Investment in the stock market has a …

Lung cancer is one of the most deadly diseases around the world representing about 26% of
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …

With the rapid growth of the P2P online loan industry in the “Three Rurals”(agriculture, rural
areas, and farmers) sector, it is imperative to manage the borrowing risk of borrowers in the …

In recent years, a variety of research fields, including finance, have begun to place great
emphasis on machine learning techniques because they exhibit broad abilities to simulate …

Defect inversion, as a key step in magnetic flux leakage (MFL) inspection widely used in
nondestructive testing (NDT) systems, is critical to quantitative analysis of pipeline risk level …

One of the most important food crops is rice. For this reason, the accurate identification of
rice pests is a critical foundation for rice pest control. In this study, we propose an algorithm …

Label distribution learning (LDL) is a novel machine learning paradigm to deal with label
ambiguity issues by placing more emphasis on how relevant each label is to a particular …

Feature selection used for dimensionality reduction of the feature space plays an important
role in multi-label learning where high-dimensional data are involved. Although most …

Abstract Label Distribution Learning (LDL) is a novel learning paradigm, aim of which is to
minimize the distance between the model output and the groundtruth label distribution. We …

Label ambiguity has attracted quite some attention among the machine learning community.
The latterly proposed Label Distribution Learning (LDL) can handle label ambiguity and has …