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.
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
IEEE

Implementation of ML Algorithm for Spyware Detection System Using SVM with KNN Algorithm for Comparison of Accuracy

Abstract: The research examines the Support Vector Machines (SVM) and K-Nearest Neighbor (KNN) machine learning algorithms with the goal of using machine learning to detect malware and mitigate ...
IEEE

Prediction of Heart Disease Using Machine Learning Algorithms

Abstract: In India, heart disease claims the lives of about one person every day. The human body's most vital organ is the heart. The heart has two primary purposes: first, it gathers blood from body ...
Scientific Research Publishing

Real-Time Crop Prediction Based on Soil Fertility and Weather Forecast Using IoT and a Machine Learning Algorithm ()

Agriculture, the backbone of the economy to most developing countries, should normally contribute to its economic growth. But ignorantly, farmers grow crops by simply taking a piece of land, clearing ...
GitHub

High accuracy captcha solver for SJTU Jaccount login page using SVM and ResNet.

This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies projection-based algorithm to the input image, then use a pre-trained SVM model ...