PsyPost on MSN

Machine learning identifies brain patterns that predict antidepressant success

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
IEEE

A Novel SHiP Vector Machine for Network Intrusion Detection

Abstract: In this paper, network intrusion detection is proposed using an improved version of the support vector machine model to detect DoS attacks. Here, the SVM model considers the weight parameter ...
IEEE

Series Arc Fault Identification Based on a Novel Newton-Optimized Sparse Kernel Support Vector Machine

Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...