Comprehensive review on twin support vector machines

Twin support vector machine (TWSVM) and twin regression (TSVR) are newly emerging efficient learning techniques which offer promising solutions for classification challenges respectively. TWSVM is based upon the idea to identify two nonparallel hyperplanes classify data points their respective classes. It requires solve small sized quadratic programming problems (QPPs) in lieu of solving single large size QPP (SVM) while TSVR formulated on lines SVM kind problems. Although there has been good research progress these techniques; limited literature comparison different variants TSVR. Thus, this review presents a rigorous analysis recent simultaneously mentioning limitations advantages. To begin with we first introduce basic theory machine, then focus various improvements applications TWSVM, its enhancements. Finally, suggest future development prospects.