Proceedings of ELM-2014 Volume 1: Algorithms and Theories

Front Matter....Pages 1-8
Sparse Bayesian ELM Handling with Missing Data for Multi-class Classification....Pages 1-13
A Fast Incremental Method Based on Regularized Extreme Learning Machine....Pages 15-30
Parallel Ensemble of Online Sequential Extreme Learning Machine Based on MapReduce....Pages 31-40
Explicit Computation of Input Weights in Extreme Learning Machines....Pages 41-49
Subspace Detection on Concept Drifting Data Stream....Pages 51-59
Inductive Bias for Semi-supervised Extreme Learning Machine....Pages 61-70
ELM Based Efficient Probabilistic Threshold Query on Uncertain Data....Pages 71-80
Sample-Based Extreme Learning Machine Regression with Absent Data....Pages 81-90
Two Stages Query Processing Optimization Based on ELM in the Cloud....Pages 91-102
Domain Adaptation Transfer Extreme Learning Machines....Pages 103-119
Quasi-Linear Extreme Learning Machine Model Based Nonlinear System Identification....Pages 121-130
A Novel Bio-inspired Image Recognition Network with Extreme Learning Machine....Pages 131-139
A Deep and Stable Extreme Learning Approach for Classification and Regression....Pages 141-150
Extreme Learning Machine Ensemble Classifier for Large-Scale Data....Pages 151-161
Pruned Annular Extreme Learning Machine Optimization Based on RANSAC Multi Model Response Regularization....Pages 163-182
Learning ELM Network Weights Using Linear Discriminant Analysis....Pages 183-191
An Algorithm for Classification over Uncertain Data Based on Extreme Learning Machine....Pages 193-202
Training Generalized Feedforword Kernelized Neural Networks on Very Large Datasets for Regression Using Minimal-Enclosing-Ball Approximation....Pages 203-214
An Online Multiple-Model Approach to Univariate Time-Series Prediction....Pages 215-224
A Self-Organizing Mixture Extreme Leaning Machine for Time Series Forecasting....Pages 225-236
Ensemble Extreme Learning Machine Based on a New Self-adaptive AdaBoost.RT....Pages 237-244
Machine Learning Reveals Different Brain Activities in Visual Pathway during TOVA Test....Pages 245-262
Online Sequential Extreme Learning Machine with New Weight-Setting Strategy for Nonstationary Time Series Prediction....Pages 263-272
RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement....Pages 273-292
Extreme Learning Machine for Regression and Classification Using L 1 -Norm and L 2 -Norm....Pages 293-300
A Semi-supervised Online Sequential Extreme Learning Machine Method....Pages 301-310
ELM Feature Mappings Learning: Single-Hidden-Layer Feedforward Network without Output Weight....Pages 311-324
ROS-ELM: A Robust Online Sequential Extreme Learning Machine for Big Data Analytics....Pages 325-344
Deep Extreme Learning Machines for Classification....Pages 345-354
C-ELM: A Curious Extreme Learning Machine for Classification Problems....Pages 355-366
Review of Advances in Neural Networks: Neural Design Technology Stack....Pages 367-376
Applying Regularization Least Squares Canonical Correlation Analysis in Extreme Learning Machine for Multi-label Classification Problems....Pages 377-396
Least Squares Policy Iteration Based on Random Vector Basis....Pages 397-405
Identifying Indistinguishable Classes in Multi-class Classification Data Sets Using ELM....Pages 407-415
Effects of Training Datasets on Both the Extreme Learning Machine and Support Vector Machine for Target Audience Identification on Twitter....Pages 417-434
Extreme Learning Machine for Clustering....Pages 435-444
Back Matter....Pages 445-446