An intuitionistic fuzzy kernel ridge regression classifier for binary classification

On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function

(2021) Deepak Gupta et al.   APPLIED SOFT COMPUTING

Density-weighted support vector machines for binary class imbalance learning

(2020) Barenya Bikash Hazarika et al.   NEURAL COMPUTING & APPLICATIONS

Comprehensive evaluation of twin SVM based classifiers on UCI datasets

(2019) M. Tanveer et al.   APPLIED SOFT COMPUTING

Intuitionistic Fuzzy Twin Support Vector Machines

(2019) Salim Rezvani et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Benchmarking Ensemble Classifiers with Novel Co-Trained Kernel Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier]

(2017) Le Zhang et al.   IEEE Computational Intelligence Magazine

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

An ensemble of decision trees with random vector functional link networks for multi-class classification

(2017) Rakesh Katuwal et al.   APPLIED SOFT COMPUTING

TWSVR: Regression via Twin Support Vector Machine

(2016) Reshma Khemchandani et al.   NEURAL NETWORKS

Kernel ridge regression with active learning for wind speed prediction

(2012) Fouzi Douak et al.   APPLIED ENERGY

The support vector machine based on intuitionistic fuzzy number and kernel function

(2012) Minghu Ha et al.   SOFT COMPUTING

A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images

(2010) Tamalika Chaira   APPLIED SOFT COMPUTING