Robust Extreme Learning Machines with Different Loss Functions

Robust regularized extreme learning machine for regression using iteratively reweighted least squares

(2017) Kai Chen et al.   NEUROCOMPUTING

Robust support vector machines based on the rescaled hinge loss function

(2017) Guibiao Xu et al.   PATTERN RECOGNITION

Bayesian quantile regression with approximate likelihood

(2015) Yang Feng et al.   BERNOULLI

Efficient Quantile Regression Analysis With Missing Observations

(2015) Xuerong Chen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Outlier-robust extreme learning machine for regression problems

(2015) Kai Zhang et al.   NEUROCOMPUTING

Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation

(2014) Ran He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Taylor Based Localization Algorithm for Wireless Sensor Network Using Extreme Learning Machine

(2014) Xiong LUO et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Support Vector Machine Classifier With Pinball Loss

(2013) Xiaolin Huang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The C-loss function for pattern classification

(2013) Abhishek Singh et al.   PATTERN RECOGNITION

Training extreme learning machine via regularized correntropy criterion

(2012) Hong-Jie Xing et al.   NEURAL COMPUTING & APPLICATIONS

Robust extreme learning machine

(2012) Punyaphol Horata et al.   NEUROCOMPUTING

An optimizing BP neural network algorithm based on genetic algorithm

(2011) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Efficient and effective algorithms for training single-hidden-layer neural networks

(2011) Dong Yu et al.   PATTERN RECOGNITION LETTERS

Optimization method based extreme learning machine for classification

(2010) Guang-Bin Huang et al.   NEUROCOMPUTING

TSVR: An efficient Twin Support Vector Machine for regression

(2009) Xinjun Peng   NEURAL NETWORKS

Enhanced random search based incremental extreme learning machine

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING