treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...

Abstract: Investing in the stock market has always been a popular way for people to generate high returns. Nowadays, even a common man can invest in the stock market and generate good profits if ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...

Abstract: This paper applies an advanced machine learning model based on the NRBO-XGBoost algorithm to construct an anti-return-to-poor risk prediction system in a high-dimensional feature space, ...

Mr. Conte is the co-founder and chief executive of Patreon. The World Wide Web was introduced some three decades ago. Describing in 2019 the hopes that had been projected onto the internet at its ...

1 Rehabilitation Department, Shenzhen Children's Hospital, Shenzhen, Guangdong, China 2 Jiangxi Education Evaluation And Assessment Institute, Nanchang, Jiangxi, China Objectives: Oral feeding ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...