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 ...
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

Support Vector Machines Classification on Bendable RISC-V

Abstract: Flexible Electronics (FE) technology offers unique characteristics in electronic manufacturing, providing ultra-lowcost, lightweight, and environmentally-friendly alternatives to traditional ...