There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

School of Mathematical Sciences, Jiangsu University, Zhenjiang, China. From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was ...

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...

Abstract: The enterprise financial system, facing the growing amount of financial data, may have a significant impact on the long-term operation of the enterprise if it lacks effective management.

Abstract: This paper focuses on the use of multiple machine learning algorithms in cybercrime research. In the data processing stage, VCDB and ITU data are cleaned and statistically analysed through ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...