Abstract: This study explores the application of Support Vector Machines (SVM) for predicting key performance metrics, namely Gain and S11 (return loss), in microstrip patch antenna design. By ...

Henry Krumb School of Mines, Earth and Environmental Engineering Department, Columbia University, New York, New York 10027, United States ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

Abstract: Support Vector Regression (SVR) operates as an effective regression methodology within the machine learning landscape, with its performance largely dependent on hyperparameter tuning. This ...

1 New Smart City High-Quality Power Supply Joint Laboratory of China Southern Power Grid, Shenzhen Power Supply Co., Ltd., Shenzhen, Guangdong, China 2 College of Electrical and Information ...

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Mechanisms for plagiarism detection play a crucial role in maintaining academic integrity, acting both to penalize wrongdoing while also serving as a preemptive deterrent for bad behavior. This ...

Autistic regression refers to a loss of previously acquired skills or a backtracking of developmental milestones. In young children, it may represent autism onset. In older children and adults, it may ...