Entropy based fuzzy least squares twin support vector machine for class imbalance learning

Entropy-based fuzzy support vector machine for imbalanced datasets

(2017) Qi Fan et al.   KNOWLEDGE-BASED SYSTEMS

A new fuzzy twin support vector machine for pattern classification

(2017) Su-Gen Chen et al.   International Journal of Machine Learning and Cybernetics

A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization

(2016) S. Balasundaram et al.   APPLIED INTELLIGENCE

Robust energy-based least squares twin support vector machines

(2016) Mohammad Tanveer et al.   APPLIED INTELLIGENCE

Single Object Tracking With Fuzzy Least Squares Support Vector Machine

(2015) Shunli Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Weighted linear loss twin support vector machine for large-scale classification

(2015) Yuan-Hai Shao et al.   KNOWLEDGE-BASED SYSTEMS

Learning solutions to partial differential equations using LS-SVM

(2015) Siamak Mehrkanoon et al.   NEUROCOMPUTING

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

(2014) Yuan-Hai Shao et al.   PATTERN RECOGNITION

Least squares recursive projection twin support vector machine for classification

(2011) Yuan-Hai Shao et al.   PATTERN RECOGNITION

FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning

(2010) Rukshan Batuwita et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Least squares twin support vector machines for pattern classification

(2008) M. Arun Kumar et al.   EXPERT SYSTEMS WITH APPLICATIONS