Support Vector Regression

Support Vector Regression (SVR) is a machine learning technique used for regression tasks, aiming to find the optimal hyperplane that best fits a dataset while minimizing prediction error. Current research emphasizes enhancing SVR's accuracy and robustness through hybrid models combining SVR with meta-heuristic optimization algorithms (like Particle Swarm Optimization and Grey Wolf Optimization) for hyperparameter tuning, and exploring novel loss functions to improve resilience to outliers and noise. These advancements are driving applications across diverse fields, including air quality forecasting, 3D point cloud quality assessment, and various engineering and scientific prediction problems, demonstrating SVR's versatility and practical impact.

Papers

October 25, 2024

Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization
Eduardo Luiz Alba, Matheus Henrique Dal Molin Ribeiro, Gilson Adamczuk, Flavio Trojan, Erick Oliveira Rodrigues
Machine Learning Model Metaheuristic Algorithm Forecasting Performance Random Forest Model Consumption Forecasting Support Vector Regression Weather Variable Educational Content University Campus

July 1, 2024

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models
Parviz Ghafariasl, Masoomeh Zeinalnezhad, Amir Ahmadishokooh
Machine Learning Model Particle Swarm Optimization Forecasting Model Support Vector Regression

June 15, 2024

Full reference point cloud quality assessment using support vector regression
Ryosuke Watanabe, Shashank N. Sridhara, Haoran Hong, Eduardo Pavez, Keisuke Nonaka, Tatsuya Kobayashi, Antonio Ortega
Point Cloud Point Cloud Compression Point Cloud Quality Support Vector Regression

April 17, 2024

Prediction of Unmanned Surface Vessel Motion Attitude Based on CEEMDAN-PSO-SVM
Zhuoya Geng, Jianmei Chen, Wanqiang Zhu
Human Prediction Unmanned Surface Support Vector Regression Empirical Mode Decomposition

April 10, 2024

Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values
Amit Thombre
Decision Tree Local Interpretable Model Agnostic Explanation Support Vector Regression Multivariate Regression Vector Regression

April 7, 2024

Neural Network Modeling for Forecasting Tourism Demand in Stopi\'{c}a Cave: A Serbian Cave Tourism Study
Buda Bajić, Srđan Milićević, Aleksandar Antić, Slobodan Marković, Nemanja Tomić
Neural Network Model Travel Demand Support Vector Regression Subterranean Environment Integrated Moving Average Sustainable Consumption Hotel Demand

February 19, 2024

Learning Input Constrained Control Barrier Functions for Guaranteed Safety of Car-Like Robots
Sven Brüggemann, Dominic Nightingale, Jack Silberman, Maurício de Oliveira
Non Humanoid Robot Control Barrier Function Safety Guarantee Safety Filter Support Vector Regression Car Like Robot Control Barrier

February 6, 2024

An Optimal House Price Prediction Algorithm: XGBoost
Hemlata Sharma, Hitesh Harsora, Bayode Ogunleye
Random Forest Support Vector Regression House Price Prediction

January 30, 2024

HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function
Mushir Akhtar, M. Tanveer, Mohd. Arshad
Loss Function Robust Regression Support Vector Regression Norm Bounded Smooth Loss Function

January 25, 2024

An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations
Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
Support Vector Machine Kernel Based Fractional Derivative Support Vector Regression Orthogonal Polynomial Differential Algebraic Equation

January 7, 2024

Pre-insertion resistors temperature prediction based on improved WOA-SVR
Honghe Dai, Site Mo, Haoxin Wang, Nan Yin, Songhai Fan, Bixiong Li
Support Vector Regression High Temperature Whale Optimization Algorithm

October 19, 2023

Personalized human mobility prediction for HuMob challenge
Masahiro Suzuki, Shomu Furuta, Yusuke Fukazawa
Personalized Subject Support Vector Regression Human Mobility Prediction User Trajectory HuMob Challenge

October 2, 2023

A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation
Ibrahim Yazıcı, Emre Gures
Machine Learning G Network Support Vector Regression Path Loss Robust Machine Learning

August 3, 2023

Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods
Gabriel R. Lencione, Fernando J. Von Zuben
Least Square Kernel Method Recursive Algorithm Support Vector Regression Multiple Kernel Wind Speed Forecasting

August 1, 2023

July 26, 2023

Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling
Masoume Kazemi, Davood Moradkhani, Alireza Abbas Alipour
Application Proficiency Random Forest Support Vector Machine Support Vector Regression Moisture Content Pressure Filtration Zinc Electrolysis

March 4, 2023

Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications
Amitesh Kumar Singam, Benny Lövström, Wlodek J. Kulesza
Comparative Study Unsupervised Setting Video Quality Assessment Support Vector Regression Quality Metric Supervised Learning Method Multimedia Service

December 27, 2022

Feature Selection Approaches for Optimising Music Emotion Recognition Methods
Le Cai, Sam Ferguson, Haiyan Lu, Gengfa Fang
Feature Selection Support Vector Regression High Dimensional Feature Music Emotion Recognition

December 18, 2022

Support Vector Regression: Risk Quadrangle Framework
Anton Malandii, Stan Uryasev
Support Vector Machine Support Vector Regression Risk Quadrangle

Support Vector Regression

Papers

Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models

Full reference point cloud quality assessment using support vector regression

Prediction of Unmanned Surface Vessel Motion Attitude Based on CEEMDAN-PSO-SVM

Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values

Neural Network Modeling for Forecasting Tourism Demand in Stopi\'{c}a Cave: A Serbian Cave Tourism Study

Learning Input Constrained Control Barrier Functions for Guaranteed Safety of Car-Like Robots

An Optimal House Price Prediction Algorithm: XGBoost

HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function

An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations

Pre-insertion resistors temperature prediction based on improved WOA-SVR

Personalized human mobility prediction for HuMob challenge

A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation

Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods

Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel

Beam Detection Based on Machine Learning Algorithms

Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling

Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications

Feature Selection Approaches for Optimising Music Emotion Recognition Methods

Support Vector Regression: Risk Quadrangle Framework