Functional iterative approaches for solving support vector classification problems based on generalized Huber loss

QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment

(2019) Zhao Tong et al.   NEURAL COMPUTING & APPLICATIONS

Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints

(2019) Hao Li et al.   NEURAL COMPUTING & APPLICATIONS

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

(2018) Deepak Gupta et al.   APPLIED INTELLIGENCE

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

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

Twin support vector machines: A survey

(2018) Huajuan Huang et al.   NEUROCOMPUTING

Wavelet twin support vector machines based on glowworm swarm optimization

(2017) Shifei Ding et al.   NEUROCOMPUTING

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

(2016) S. Balasundaram et al.   APPLIED INTELLIGENCE

A finite element based data analytics approach for modeling turning process of Inconel 718 alloys

(2016) V. Vijayaraghavan et al.   JOURNAL OF CLEANER PRODUCTION

An evolutionary framework in modelling of multi-output characteristics of the bone drilling process

(2016) Akhil Garg et al.   NEURAL COMPUTING & APPLICATIONS

Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines

(2016) Udeme Ekong et al.   NEUROCOMPUTING

Using unsupervised clustering approach to train the Support Vector Machine for text classification

(2016) Niusha Shafiabady et al.   NEUROCOMPUTING

A new sense-through-foliage target recognition method based on hybrid differential evolution and self-adaptive particle swarm optimization-based support vector machine

(2015) Shijun Zhai et al.   NEUROCOMPUTING

Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization

(2015) XiaoLi Zhang et al.   NEUROCOMPUTING

Wavelet twin support vector machine

(2014) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

Feature selection for least squares projection twin support vector machine

(2014) Jianhui Guo et al.   NEUROCOMPUTING

A fast fuzzy support vector machine based on information granulation

(2012) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles

(2012) Pijush Samui et al.   NEURAL COMPUTING & APPLICATIONS

Laplacian twin support vector machine for semi-supervised classification

(2012) Zhiquan Qi et al.   NEURAL NETWORKS

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

Fuzzy support vector machine for classification of EEG signals using wavelet-based features

(2009) Qi Xu et al.   MEDICAL ENGINEERING & PHYSICS

Least squares twin support vector machines for pattern classification

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