Proceedings of ELM, 2014. Volume 1, Algorithms and theories [electronic resource] / Jiuwen Cao, Kezhi Mao, Erik Cambria, Zhihong Man, Kar-Ann Toh, editors.

Sparse Bayesian ELM handling with missing data for multi-class classification
A Fast Incremental Method Based on Regularized Extreme Learning Machine
Parallel Ensemble of Online Sequential Extreme Learning Machine Based on MapReduce
Explicit Computation of Input Weights in Extreme Learning Machines
Subspace Detection on Concept Drifting Data Stream
Inductive Bias for Semi-supervised Extreme Learning Machine
ELM based Efficient Probabilistic Threshold Query on Uncertain Data
Sample-based Extreme Learning Machine Regression with Absent Data
Two Stages Query Processing Optimization based on ELM in the Cloud
Domain Adaption Transfer Extreme Learning Machine
Quasi-linear extreme learning machine model based nonlinear system identification
A novel bio-inspired image recognition network with extreme learning machine
A Deep and Stable Extreme Learning Approach for Classification and Regression
Extreme Learning Machine Ensemble Classifier for Large-scale Data
Pruned Extreme Learning Machine Optimization based on RANSAC Multi Model Response Regularization
Learning ELM network weights using linear discriminant analysis
An Algorithm for Classification over Uncertain Data based on Extreme Learning Machine
Training Generalized Feedforward Kernelized Neural Networks on Very Large Datasets for Regression Using Minimal-Enclosing-Ball Approximation
An Online Multiple Model Approach to Improve Performance in Univariate Time-Series Prediction
A Self-organizing Mixture Extreme Leaning Machine for Time Series Forecasting
A Robust AdaBoost.RT based Ensemble Extreme Learning Machine
Machine learning reveals different brain activities during TOVA test
Online Sequential Extreme Learning Machine with New Weight-setting Strategy or Non stationary Time Series Prediction
RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement
Extreme Learning Machine for Regression and Classification Using L1-Norm and L2-Norm
A Semi-supervised Online Sequential Extreme Learning Machine Method
ELM feature mappings learning: Single-hidden-layer feed forward network without output weight
ROS-ELM: A Robust Online Sequential Extreme Learning Machine for Big Data
Deep Extreme Learning Machines for Classification
C-ELM: A Curious Extreme Learning Machine for Classification Problems
Review of Advances in Neural Networks: Neural Design Technology Stack
Applying Regularization Least Squares Canonical Correction Analysis in Extreme Learning Machine formulti-label classification problems
Least Squares Policy Iteration based on Random Vector Basis
Identifying Indistinguishable Classes in Multi-class Classification Data Sets using ELM
Effects of Training Datasets on both the Extreme Learning Machine and Support Vector Machine for Target Audience Identification on Twitter
Extreme Learning Machine for Clustering.