Entropy-Based Fuzzy Least Squares Twin Support Vector Machine for Pattern Classification

Finite-time event-triggered $\mathcal{H}_\infty$ control for T-S fuzzy Markov jump systems

(2018) Hao Shen et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Fuzzy-Model-Based Non-Fragile Control for Nonlinear Singularly Perturbed Systems with Semi-Markov Jump Parameters

(2018) Hao Shen et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Angle-based twin parametric-margin support vector machine for pattern classification

(2018) Reshma Rastogi (née Khemchandani) et al.   KNOWLEDGE-BASED SYSTEMS

Multi-view learning based on nonparallel support vector machine

(2018) Jingjing Tang et al.   KNOWLEDGE-BASED SYSTEMS

A fuzzy twin support vector machine based on information entropy for class imbalance learning

(2018) Deepak Gupta et al.   NEURAL COMPUTING & APPLICATIONS

Multi-View Least Squares Support Vector Machines Classification

(2018) Lynn Houthuys et al.   NEUROCOMPUTING

Network-Based Quantized Control for Fuzzy Singularly Perturbed Semi-Markov Jump Systems and its Application

(2018) Hao Shen et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Entropy-based fuzzy support vector machine for imbalanced datasets

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

Wavelet twin support vector machines based on glowworm swarm optimization

(2017) Shifei Ding et al.   NEUROCOMPUTING

A Novel Twin Support-Vector Machine With Pinball Loss

(2017) Yitian Xu et al.   IEEE Transactions on Neural Networks and Learning 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 Novel Twin Support Vector Machine for Binary Classification Problems

(2016) Sugen Chen et al.   NEURAL PROCESSING LETTERS

Multiple birth least squares support vector machine for multi-class classification

(2016) Su-Gen Chen et al.   International Journal of Machine Learning and Cybernetics

Least squares twin multi-class classification support vector machine

(2015) Jalal A. Nasiri et al.   PATTERN RECOGNITION

Non-parallel support vector classifiers with different loss functions

(2014) Siamak Mehrkanoon et al.   NEUROCOMPUTING

Laplacian least squares twin support vector machine for semi-supervised classification

(2014) Wei-Jie Chen et al.   NEUROCOMPUTING

Nonparallel Support Vector Machines for Pattern Classification

(2014) Yingjie Tian et al.   IEEE Transactions on Cybernetics

Fuzzy support vector machine based on within-class scatter for classification problems with outliers or noises

(2013) Wenjuan An et al.   NEUROCOMPUTING

Laplacian twin support vector machine for semi-supervised classification

(2012) Zhiquan Qi et al.   NEURAL NETWORKS

Robust twin support vector machine for pattern classification

(2012) Zhiquan Qi et al.   PATTERN RECOGNITION

Improvements on Twin Support Vector Machines

(2011) Yuan-Hai Shao et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition

(2011) Xinjun Peng   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

Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine

(2008) D. Isa et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING