Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression

Elastic-net based robust extreme learning machine for one-class classification

(2023) Weicheng Zhan et al.   SIGNAL PROCESSING

Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis

(2022) Hengmin Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Robust regularized extreme learning machine with asymmetric Huber loss function

(2020) Deepak Gupta et al.   NEURAL COMPUTING & APPLICATIONS

Robust regularized extreme learning machine for regression with non-convex loss function via DC program

(2020) Kuaini Wang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

An Improved LDA-Based ELM Classification for Intrusion Detection Algorithm in IoT Application

(2020) Dehua Zheng et al.   SENSORS

Outlier Detection

(2020) Azzedine Boukerche et al.   ACM COMPUTING SURVEYS

A coiflet LDMR and coiflet OB-ELM for river suspended sediment load prediction

(2020) B. B. Hazarika et al.   International Journal of Environmental Science and Technology

Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems

(2020) Hengmin Zhang et al.   IEEE Transactions on Cybernetics

Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions

(2019) Pierre Alquier et al.   ANNALS OF STATISTICS

On-line prognosis of fatigue cracking via a regularized particle filter and guided wave monitoring

(2019) Jian Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations

(2019) Hengmin Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization

(2019) Hengmin Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Minimum deviation distribution machine for large scale regression

(2018) Ming-Zeng Liu et al.   KNOWLEDGE-BASED SYSTEMS

Sparse pseudoinverse incremental extreme learning machine

(2018) Peyman Hosseinzadeh Kassani et al.   NEUROCOMPUTING

Robust Extreme Learning Machines with Different Loss Functions

(2018) Zhuo Ren et al.   NEURAL PROCESSING LETTERS

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

(2017) Kai Chen et al.   NEUROCOMPUTING

A comparative study of network robustness measures

(2017) Jing Liu et al.   Frontiers of Computer Science

A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition

(2016) Liming Yang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses

(2016) Yunlong Feng et al.   NEURAL COMPUTATION

Anomaly detection in traffic using L1-norm minimization extreme learning machine

(2015) Yibing Wang et al.   NEUROCOMPUTING

Outlier-robust extreme learning machine for regression problems

(2015) Kai Zhang et al.   NEUROCOMPUTING

On optimization based extreme learning machine in primal for regression and classification by functional iterative method

(2014) S. Balasundaram et al.   International Journal of Machine Learning and Cybernetics

Compressed sensing signal recovery via forward–backward pursuit

(2013) Nazim Burak Karahanoglu et al.   DIGITAL SIGNAL PROCESSING

1-Norm extreme learning machine for regression and multiclass classification using Newton method

(2013) S. Balasundaram et al.   NEUROCOMPUTING

Extreme Learning Machine for Regression and Multiclass Classification

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

Robustness and generalization

(2011) Huan Xu et al.   MACHINE LEARNING

Two-stage extreme learning machine for regression

(2010) Yuan Lan et al.   NEUROCOMPUTING

Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints

(2010) Shai Shalev-Shwartz et al.   SIAM JOURNAL ON OPTIMIZATION

A DC programming approach for feature selection in support vector machines learning

(2008) Hoai An Le Thi et al.   Advances in Data Analysis and Classification