IEEE

Comparison of Random Forest, K-Nearest Neighbor, and Support Vector Machine Classifiers for Intrusion Detection System

Abstract: Earlier classification investigations identified Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM) as leading nonparametric classifiers capable of achieving high ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
Hosted on MSN

'Alternative great power: China's 'very effective military machine' striving to be world-class

Through its use of military pageantry, China aims to project itself as a non-Western great power on the global stage, explains Alessio Patalano, Military Historian, Author, and Professor of War & ...
GitHub

Add sequence classification support for small Gemma 3 models

Especially the smallest model with 270m parameters might be an interesting replacement for older model architectures like DistilBERT in resource-constrained environments. We have seen reasonable ...
IEEE

PV Residual Current Classification and Identification Based on Support Vector Machine

Abstract: In order to solve the problem that the residual current threshold discriminating mechanism of grid-connected dc systems lacks the ability of fault type identification, a photovoltaic (PV) ...