Sun F., Toh K.-A., Romay M.G., Mao K. (eds.) Extreme Learning Machines 2013: Algorithms and Applications

Springer, 2014, -224 p.In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outstanding merits of extreme learning machine (ELM) are its fast learning speed, trivial human intervene and high scalability.
This book contains some selected papers from the International Conference on Extreme Learning Machine 2013, which was held in Beijing China, October 15-17, 2013. This conference aims to bring together the researchers and practitioners of extreme learning machine from a variety of fields including artificial intelligence, biomedical engineering and bioinformatics, system modeling and control, and signal and image processing, to promote research and discussions of learning without iterative tuning".
This book covers algorithms and applications of ELM. It gives readers a glance of the newest developments of ELM.Stochastic Sensitivity Analysis Using Extreme Learning Machine
Efficient Data Representation Combining with ELM and GNMF
Extreme Support Vector Regression
A Modular Prediction Mechanism Based on Sequential Extreme Learning Machine with Application to Real-Time Tidal Prediction
An Improved Weight Optimization and Cholesky Decomposition Based Regularized Extreme Learning Machine for Gene Expression Data Classification
A Stock Decision Support System Based on ELM
Robust Face Detection Using Multi-Block Local Gradient Patterns and Extreme Learning Machine
Freshwater Algal Bloom Prediction by Extreme Learning Machine in Macau Storage Reservoirs
ELM-Based Adaptive Live Migration Approach of Virtual Machines
ELM for Retinal Vessel Classification
Demographic Attributes Prediction Using Extreme Learning Machine
Hyperspectral Image Classification Using Extreme Learning Machine and Conditional Random Field
ELM Predicting Trust from Reputation in a Social Network of Reviewers
Indoor Location Estimation Based on Local Magnetic Field via Hybrid Learning
A Novel Scene Based Robust Video Watermarking Scheme in DWT Domain Using Extreme Learning Machine