Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Abstract: In recent years, Machine Learning (ML) models have been introduced across diverse scientific fields, due to their strong predictive performance. However, in many applications the demand for ...

Recently, a research team led by Prof. Zhao Bangchuan from the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with Prof. Xiao Yao ...

On the surface, the Trump administration’s bet on immigration and jobs seems like simple math: If a swath of workers are removed from the country, employers will need to turn to the workers still in ...

When experiencing pain after surgery, patients are often prescribed powerful opioid pain relievers. These medications are addictive, and patients who have never abused drugs can become dependent on ...

Mixed anxiety-depressive disorders (MADD) and suicidal thoughts, online bullying, poorer self-esteem, alcohol, cannabis and psychoactive substance use… social networks exploit young people's ...

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

A post on Google Design this week takes a look at the design and illustration of the Gemini app, with gradients playing a big role. Google considers AI assistants to be an “uncharted design territory” ...