A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Abstract: In this work, we provide a statistical procedure to integrate expert preferences towards explanatory variables in stepwise forward regression. The proposed method builds on the traditional ...

The computational technique conventionally used for stepwise multiple linear regression requires the storage of an n × n matrix of data. When the number of variables, n, is large, this requirement ...

Abstract: The traditional AHP-based evaluation model of teacher teaching quality is unreasonable for the weight distribution of evaluation factors of teaching quality. The evaluation model of teacher ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

1 Faculty of Applied Sciences, Macao Polytechnic University, Macao, China 2 School of Financial Management, Hainan College of Economics and Business, Haikou, China Studying the factors influencing the ...