Robust regression using support vector regressions

Optimal estimation of physical properties of the products of an atmospheric distillation column using support vector regression

(2020) Ahmet Can Serfidan et al.   COMPUTERS & CHEMICAL ENGINEERING

Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm

(2020) Xiaohua Ding et al.   ENGINEERING WITH COMPUTERS

Hybrid change point detection for time series via support vector regression and CUSUM method

(2020) Sangyeol Lee et al.   APPLIED SOFT COMPUTING

Robust support vector machine with generalized quantile loss for classification and regression

(2019) Liming Yang et al.   APPLIED SOFT COMPUTING

Hierarchical time series forecasting via Support Vector Regression in the European Travel Retail Industry

(2019) Juan Pablo Karmy et al.   EXPERT SYSTEMS WITH APPLICATIONS

Robust twin support vector regression based on Huber loss function

(2019) S. Balasundaram et al.   NEURAL COMPUTING & APPLICATIONS

Regional Analysis of Flow Duration Curves through Support Vector Regression

(2019) Mehdi Vafakhah et al.   WATER RESOURCES MANAGEMENT

Support vector regression with modified firefly algorithm for stock price forecasting

(2018) Jun Zhang et al.   APPLIED INTELLIGENCE

Least absolute deviation-based robust support vector regression

(2017) Chuanfa Chen et al.   KNOWLEDGE-BASED SYSTEMS

Boosting deep attribute learning via support vector regression for fast moving crowd counting

(2017) Xinlei Wei et al.   PATTERN RECOGNITION LETTERS

A robust regression based on weighted LSSVM and penalized trimmed squares

(2016) Jianyong Liu et al.   CHAOS SOLITONS & FRACTALS

A robust algorithm of support vector regression with a trimmed Huber loss function in the primal

(2016) Chuanfa Chen et al.   SOFT COMPUTING

A novel support vector regression for data set with outliers

(2015) Jie Hu et al.   APPLIED SOFT COMPUTING

A robust least squares support vector machine for regression and classification with noise

(2014) Xiaowei Yang et al.   NEUROCOMPUTING

Fuzzy c-means improvement using relaxed constraints support vector machines

(2012) Mostafa Sabzekar et al.   APPLIED SOFT COMPUTING

Recursive robust least squares support vector regression based on maximum correntropy criterion

(2012) Xiaobo Chen et al.   NEUROCOMPUTING

Adaptive weighted least square support vector machine regression integrated with outlier detection and its application in QSAR

(2009) Wentong Cui et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario

(2007) S. De Vito et al.   SENSORS AND ACTUATORS B-CHEMICAL