High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...

JACKSONVILLE, Fla. — At 9:43 p.m. Friday, in the middle of a tense and eventful night in the draft room, James Gladstone had a lot to process. The recently hired, 34-year-old general manager of the ...

The mortgage industry has never been more complex and competitive, with pressure from budget online brokers, turbulent house prices, and standing out in a crowded market. However, one thing is simple ...

1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...

Abstract: With the continuous updating of the deep learning model framework, the model complexity is constantly improving, and the requirements for model interpretability and data dimensionality ...

The Programme for International Student Assessment (PISA) introduced the measurement of problem-solving skills in the 2012 cycle. The items in this new domain employ scenario-based environments in ...