Proceedings of ELM-2015 Volume 1
Springer International Publishing (Verlag)
978-3-319-80344-9 (ISBN)
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 LeftVentriclein 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 Learning Machine.- Adaptive Input Shaping for Flexible Systemsusing an Extreme Learning Machine Algorithm Identification.- Kernel BasedSemi-supervised Extreme Learning Machine and the Application in TrafficCongestion Evaluation.- Improvement of ELMAlgorithm for Multi-Object Identification in Gesture Interaction.- SVM and ELM: WhoWins? Object Recognition withDeep Convolutional Features from ImageNet.- Learning withSimilarity Functions: a Novel Design for the Extreme Learning Machine.- A Semi-SupervisedLow Rank Kernel Learning Algorithm via Extreme Learning Machine.- Application ofExtreme Learning Machine on Large Scale Traffic Congestion Prediction.- Extreme LearningMachine-Guided Collaborative Coding for Remote Sensing Image Classification.- Distributed WeightedExtreme Learning Machine for Big Imbalanced Data Learning.- NMR ImageSegmentation based on Unsupervised Extreme Learning Machine.- Annotating LocationSemantic Tags in LBSN Using Extreme Learning Machine.- Feature Extractionof Motor Imagery EEG based on Extreme Learning Machine Auto-Encoder.- Multimodal Fusionusing Kernel-based ELM for Video Emotion Recognition.- EqualityConstrained-Optimization-Based Semi-Supervised ELM for Modeling.- Signal Strength Temporal Variation in Indoor LocationEstimation Extreme LearningMachine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval.- Routing TreeMaintenance based on Trajectory Prediction in Mobile Sensor Networks.- Two-Stage HybridExtreme Learning Machine for Sequential Imbalanced Data.- Feature Selectionand Modelling of a Steam Turbine from a Combined Heat and Power Plant Using ELM.- On The Constructionof Extreme Learning Machine for One Class Classifier.- Record Linkage forEvent Identification in XML Feeds Stream Using ELM.- Timeliness OnlineRegularized Extreme Learning Machine.- An EfficientHigh-dimensional Big Data Storage Structure Based on US-ELM.- An Enhanced Extreme Learning Machine for Efficient Small SampleClassification.- Code Generation Technology of Digital Satellite.- ELM-based Velocity Inversion for Sandstone Reservoir in YanqiGas-Field.- Class-Constrained Extreme Learning Machine.
| Erscheinungsdatum | 18.06.2018 |
|---|---|
| Reihe/Serie | Proceedings in Adaptation, Learning and Optimization |
| Zusatzinfo | IX, 532 p. 213 illus., 93 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 825 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Bioinformatik | |
| Naturwissenschaften ► Biologie | |
| Technik | |
| Schlagworte | Biological Learning Mechanism • ELM 2015 • extreme learning machines • Intelligent Systems • International Conference on Extreme Learning Machi • International Conference on Extreme Learning Machines • Multiagent Systems |
| ISBN-10 | 3-319-80344-1 / 3319803441 |
| ISBN-13 | 978-3-319-80344-9 / 9783319803449 |
| Zustand | Neuware |
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