Frontiers

Retrieving interpretability to support vector machine regression models in dynamic system identification

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
Seeking Alpha

Coinbase to buy Vector, expanding support for solana network

Crypto exchange Coinbase Global (COIN) agreed to acquire Vector, an onchain trading platform built on solana (SOL-USD), the company said on Friday. Integrating Vector's technology into Coinbase's ...
Santa Cruz Sentinel

Santa Cruz County property owners support vector control assessment

SANTA CRUZ — With the ballots all tabulated, Santa Cruz County property owners have voiced their support for a new benefit assessment meant to curb the spread of nuisance bugs and the potentially ...
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) ...
AppleInsider

Time Machine's Time Capsule support ends with macOS 27

It's not just Intel code — after a period of undeath, Time Capsule's time is coming, with Apple cutting off support for Time Machine backups using the hardware in macOS 27. Time Capsules, Apple's long ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
Scientific Research Publishing

Hybrid Software Model for Defect Detection and Cost Evaluation Using Support Vector Machine Algorithm ()

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
IEEE

Learning the Optimal Discriminant SVM With Feature Extraction

Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...