Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models

Abstract: The rapid growth of digital content has made sentiment analysis (SA) an essential tool for understanding public sentiment and classifying textual data. Despite significant progress in ...
Hacker

Radial Basis Functions: Types, Advantages, and Use Cases

This is an introductory article explaining the basic intuition, mathematical idea & scope of radial basis functions in the development of predictive machine learning models. In machine learning, ...
IEEE

Enhanced Flatfoot Classification With Transformer Encoders and Bayesian Optimized SVM Parameters

Abstract: Early detection of diseases allows for timely interventions that can reduce the risk of severe health complications; using Machine Learning (ML) tools to support medical specialists aids in ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...
Techopedia

Kernel Method

Marshall, a Mississippi native, is a dedicated IT and cybersecurity expert with over a decade of experience. Along with Techopedia, his articles can be found… This mapping is done through kernel ...
Scientific Research Publishing

Path Loss Modeling: A Machine Learning Based Approach Using Support Vector Regression and Radial Basis Function Models ()

1 College of Engineering, Anderson University, Anderson, SC, USA. 2 Department of Management Information Systems, Girne American University, Girne, Cyprus. 3 Computer Science Department, Florida A&M ...
Frontiers

Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations

Genomic prediction (GP) has revolutionized animal and plant breeding. However, better statistical models that can improve the accuracy of GP are required. For this reason, in this study, we explored ...