IEEE

Wind Speed Prediction Based on Support Vector Regression Method: a Case Study of Lome-Site

Abstract: This study aims at predicting the hourly mean wind speed using a Support Vector Machine (SVM) based on a regression (SVR) model. The SVM for regression is part of the machine learning ...
搜狐

Python梯度提升树、XGBoost、LASSO回归、决策树、SVM、随机森林预测中国A ...

在创新驱动发展战略深入推进的当下，企业研发投入成为经济高质量发展的核心动力，而研发费用加计扣除、高新技术企业税收优惠等政策，既激发了企业创新活力，也催生了部分企业的研发操纵行为。这类通过虚增研发支出、调整会计处理方式套取政策红利的 ...
GitHub

High accuracy captcha solver for SJTU Jaccount login page using SVM and ResNet.

This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies projection-based algorithm to the input image, then use a pre-trained SVM model ...
IEEE

Stress Detection Using SVM and Virtual Assistant

Abstract: This paper presents a chatbot model designed to detect stress in users through simple yes-or-no questions. Utilizing a Support Vector Machine (SVM) algorithm, the model achieves high ...
Frontiers

Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression

Ischemic Stroke (IS) stands as a leading cause of mortality and disability globally, with an anticipated increase in IS-related fatalities by 2030. Despite therapeutic advancements, many patients ...
Frontiers

Supervised machine learning models for depression sentiment analysis

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques ...