Proceedings of ELM-2015 Volume 1 Theory, Algorithms and Applications (I) [Hardcover]

This book contains some selected papersfrom the International Conference on Extreme Learning Machine 2015,which was held in Hangzhou, China,December 15-17,2015.This conference brought together researchers and engineers to share andexchange R&D experience on both theoretical studies and practicalapplications of the Extreme Learning Machine (ELM) technique and brainlearning.

This book covers theories, algorithms adapplications of ELM. It gives readers a glance of the most recent advances ofELM. 

Efficient BatchParallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce.- Fixed-PointEvaluation of Extreme LearningMachine for Classification.- Multi-Layer OnlineSequential Extreme Learning Machine for Image Classification.- ELM Meets UrbanComputing: Ensemble Urban Data For Smart City Applications.- Local and GlobalUnsupervised Kernel Extreme Learning Machine and Its Application in NonlinearProcess Fault Detection.- Parallel Multi-GraphClassification Using Extreme Learning Machine and MapReduce.- Extreme LearningMachine for Large-Scale Graph Classification Based on MapReduce.- The Distance-basedRepresentative Skyline Calculation using Unsupervised Extreme  Learning Machines.-  Multi-label Text Categorization Using L₂₁-NormMinimizationExtreme Learning Machine.- Cluster-based Outlier Detection Using Unsupervised Extreme Learning Machines.- Segmentation of the LeftVentricle in Cardiac MRI Using an ELM Model.- Channel EstimationBased on Extreme Learning Machine for High Speed Environments.- MIMO Modeling Basedon Extreme Learning Machine.- Graph Classificationbased on Sparse Graph Feature Selection and Extreme Learning Machine.- Time SeriesPrediction Based on Online Sequential Improved Error Minimized Extreme Learl3-