Scientific Research Publishing

Saha, A. (2023). An Empirical Comparison of Linear and Non-linear Classification Using Support Vector Machines. International Journal of Computer Sciences and Engineering, 11 ...

ABSTRACT: Support vector machines are recognized as a powerful tool for supervised analysis and classification in different fields, particularly geophysics. In summary, SVMs are binary classifiers.
Scientific Research Publishing

Kim, H.-C., Pang, S., Je, H. M., Kim, D., & Bang, S. Y. (2003). Constructing Support Vector Machine Ensemble. Pattern Recognition, 36, 2757-2767.

ABSTRACT: Support vector machines are recognized as a powerful tool for supervised analysis and classification in different fields, particularly geophysics. In summary, SVMs are binary classifiers.
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 ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Frontiers

Development and validation of a machine learning model based on multiple kernel for predicting the recurrence risk of Budd-Chiari syndrome

Background: Budd-Chiari syndrome (BCS) is a rare global condition with high recurrence rates. Existing prognostic scoring models demonstrate limited predictive efficacy for BCS recurrence. This study ...
Ars Technica

Linux kernel is leaving 486 CPUs behind, only 18 years after the last one made

Intel’s i486 was the first “computer number” I ever really understood. Sure, my elementary school computer lab had both the Apple IIGS and Apple IIc, and one of them was slightly more useful, for ...
IEEE

Performance Comparison of Support Vector Machine Kernel Functions in Classifying COVID-19 Sentiment

Abstract: Support Vector Machine (SVM) algorithm is a machine learning algorithm that is used to classify data by finding the best hyperplane that separates classes. In the SVM algorithm there are ...