A review on multi-class TWSVM
Twin support vector machines (TWSVM), a novel machine learning algorithm developing
from traditional support vector machines (SVM), is one of the typical nonparallel support …
from traditional support vector machines (SVM), is one of the typical nonparallel support …
Generalized eigenvalue extreme learning machine for classification
P Sun, L Yang - Applied Intelligence, 2022 - Springer
Extreme learning machine (ELM) has attracted widespread attention due to its simple, quick
and good performance. In this work, in order to deal with cross data quickly and efficiently …
and good performance. In this work, in order to deal with cross data quickly and efficiently …
Multi-category ternion support vector machine
This paper proposes a three-class classifier termed as 'Ternion support vector
machine'(TerSVM) and its tree based multi-category classification approach termed as 'Multi …
machine'(TerSVM) and its tree based multi-category classification approach termed as 'Multi …
Generalized eigenvalue proximal support vector machines
Jayadeva, R Khemchandani, S Chandra… - Twin Support Vector …, 2017 - Springer
This chapter is devoted to the study of Generalized Eigenvalue Proximal Support Vector
Machine (GEPSVM) and its variants. Both, classification as well as regression models are …
Machine (GEPSVM) and its variants. Both, classification as well as regression models are …
Semi-supervised weighted ternary decision structure for multi-category classification
Semi-supervised learning has attracted researchers due to its advantages over supervised
learning. In this paper, an extremely fast multi-category classification algorithm, termed as …
learning. In this paper, an extremely fast multi-category classification algorithm, termed as …