Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

Convolutional Neural Network Utilizing Error-Correcting Output Codes Support Vector Machine for Classification of Non-Severe Traumatic Brain Injury From Electroencephalogram Signal

Abstract: A sudden blow or jolt to the human brain called traumatic brain injury (TBI) is one of the most common injuries recorded in the health insurance claim. Generally, computed tomography (CT) or ...
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Vector Nerf guns TikTok

Stephen Colbert reveals his final guests on 'The Late Show' The NBA created a dress code to stop 'thug' culture - Allen Iverson became the target The Colorado River is on the brink of disaster My dog ...
GitHub

tiskw/random-fourier-features

RFF can be applicable to many other machine learning algorithms than the above. The author will provide implementations of the other algorithms soon. This module supports training/inference on GPU.
IEEE

Granular Ball Twin Support Vector Machine

Abstract: Twin support vector machine (TSVM) is an emerging machine learning model with versatile applicability in classification and regression endeavors. Nevertheless, TSVM confronts noteworthy ...
GitHub

Phi-OTDR_dataset_and_codes

This dataset contains six types of Phi-OTDR events, including background noises, digging, knocking, shaking, watering and walking, in total of 15,419 samples. The data is divided into training set and ...
Frontiers

Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach

An increasing number of resting-state functional magnetic resonance neuroimaging (R-fMRI) studies have used functional connections as discriminative features for machine learning to identify patients ...