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Proceedings of ELM-2015 Volume 1 Theory, Algorithms and Applications (I) /
This book contains some selected papers from 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 and exchange R&D experience on both theoretical studies and pra...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edición: | 1st ed. 2016. |
| Colección: | Proceedings in Adaptation, Learning and Optimization,
6 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 024 | 7 | |a 10.1007/978-3-319-28397-5 |2 doi | |
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| 245 | 1 | 0 | |a Proceedings of ELM-2015 Volume 1 |h [electronic resource] : |b Theory, Algorithms and Applications (I) / |c edited by Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 300 | |a IX, 532 p. 213 illus., 93 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Proceedings in Adaptation, Learning and Optimization, |x 2363-6092 ; |v 6 | |
| 505 | 0 | |a Efficient Batch Parallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce -- Fixed-Point Evaluation of Extreme Learning Machine for Classification -- Multi-Layer Online Sequential Extreme Learning Machine for Image Classification -- ELM Meets Urban Computing: Ensemble Urban Data For Smart City Applications -- Local and Global Unsupervised Kernel Extreme Learning Machine and Its Application in Nonlinear Process Fault Detection -- Parallel Multi-Graph Classification Using Extreme Learning Machine and MapReduce -- Extreme Learning Machine for Large-Scale Graph Classification Based on MapReduce -- The Distance-based Representative Skyline Calculation using Unsupervised Extreme Learning Machines -- Multi-label Text Categorization Using L21-NormMinimization Extreme Learning Machine -- Cluster-based Outlier Detection Using Unsupervised Extreme Learning Machines -- Segmentation of the Left Ventricle in Cardiac MRI Using an ELM Model -- Channel Estimation Based on Extreme Learning Machine for High Speed Environments -- MIMO Modeling Based on Extreme Learning Machine -- Graph Classification based on Sparse Graph Feature Selection and Extreme Learning Machine -- Time Series Prediction Based on Online Sequential Improved Error Minimized Extreme Learning Machine -- Adaptive Input Shaping for Flexible Systems using an Extreme Learning Machine Algorithm Identification -- Kernel Based Semi-supervised Extreme Learning Machine and the Application in Traffic Congestion Evaluation -- Improvement of ELM Algorithm for Multi-Object Identification in Gesture Interaction -- SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet -- Learning with Similarity Functions: a Novel Design for the Extreme Learning Machine -- A Semi-Supervised Low Rank Kernel Learning Algorithm via Extreme Learning Machine -- Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction -- Extreme Learning Machine-Guided Collaborative Coding for Remote Sensing Image Classification -- Distributed Weighted Extreme Learning Machine for Big Imbalanced Data Learning -- NMR Image Segmentation based on Unsupervised Extreme Learning Machine -- Annotating Location Semantic Tags in LBSN Using Extreme Learning Machine -- Feature Extraction of Motor Imagery EEG based on Extreme Learning Machine Auto-Encoder -- Multimodal Fusion using Kernel-based ELM for Video Emotion Recognition -- Equality Constrained-Optimization-Based Semi-Supervised ELM for Modeling -- Signal Strength Temporal Variation in Indoor Location Estimation Extreme Learning Machine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval -- Routing Tree Maintenance based on Trajectory Prediction in Mobile Sensor Networks -- Two-Stage Hybrid Extreme Learning Machine for Sequential Imbalanced Data -- Feature Selection and Modelling of a Steam Turbine from a Combined Heat and Power Plant Using ELM -- On The Construction of Extreme Learning Machine for One Class Classifier -- Record Linkage for Event Identification in XML Feeds Stream Using ELM -- Timeliness Online Regularized Extreme Learning Machine -- An Efficient High-dimensional Big Data Storage Structure Based on US-ELM -- An Enhanced Extreme Learning Machine for Efficient Small Sample Classification -- Code Generation Technology of Digital Satellite -- ELM-based Velocity Inversion for Sandstone Reservoir in Yanqi Gas-Field -- Class-Constrained Extreme Learning Machine. . | |
| 520 | |a This book contains some selected papers from 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 and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM. . | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Data mining. | |
| 650 | 1 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computational and Systems Biology. |
| 650 | 2 | 4 | |a Bioinformatics. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 700 | 1 | |a Cao, Jiuwen. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Mao, Kezhi. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Wu, Jonathan. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Lendasse, Amaury. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319283968 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319283982 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319803449 |
| 830 | 0 | |a Proceedings in Adaptation, Learning and Optimization, |x 2363-6092 ; |v 6 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-28397-5 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||