Del 7 i serien Proceedings in Adaptation, Learning and Optimization

Proceedings of ELM-2015 Volume 2

Theory, Algorithms and Applications (II)

Häftad, Engelska, 2018

AvJiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse

2 949 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2018-03-30
Mått155 x 235 x 29 mm
Vikt791 g
FormatHäftad
SpråkEngelska
SerieProceedings in Adaptation, Learning and Optimization
Antal sidor516
FörlagSpringer International Publishing AG
ISBN9783319803388

Tillhör följande kategorier

Anatomi inom Medicin
Systemvetenskap och AI inom Data och IT
Biologi inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Large-Scale Scene Recognition based on Extreme Learning Machines.- Partially Connected ELM for Fast and Effective Scene Classification Optimization.- Two-Layer Extreme Learning Machine for Dimension Reduction.- Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier.- An Adaptive Online Sequential Extreme Learning Machine for Real-Time Tidal Level Prediction.- Optimization of Outsourcing ELM problems in Cloud Computing from Multi-Parties.- H-MRST: A Novel Framework For Support Uncertain Data Range Query Using ELM.- The SVM-ELM Model based on Particle Swarm Optimization.- ELM-ML: Study on Multi-Label Classification using Extreme Learning Machine.- Sentiment Analysis of Chinese Micro Blog based on DNN and ELM and Vector Space Model.- Self Forward and Information Dissemination Prediction Research in SINA Microblog Using ELM.- Sparse Coding Extreme Learning Machine for Classification.- Continuous Top-K Remarkable comments Over Textual Streaming Data UsingELM.- ELM based Representational Learning for Fault Diagnosis of Wind Turbine Equipment.- Prediction of Pulp Concentration Using Extreme Learning Machine.- Rational and Self-Adaptive Evolutionary Extreme Learning Machine for Electricity Price Forecast.- Contractive ML-ELM for Invariance Robust Feature Extraction.- Automated Human Facial Expression Recognition Using Extreme Learning Machines.- Multi-Modal Deep Extreme Learning Machine for Robotic Grasping Recognition.- Denoising Deep Extreme Learning Machines for Sparse Representation.- Extreme Learning Machine based Point-of-Interest Recommendation in Location-based Social Networks.- The Granule-Based Interval Forecast for Wind Speed.- KELM : An Improved K-means Clustering Method using Extreme Learning Machine.- Wind Power Ramp Events Classification using Extreme Learning Machines.- Facial Expression Recognition Based on Ensemble Extreme Learning Machine with Eye Movements Information.- Correlation between Extreme Learning Machine andEntorhinal Hippocampal System.- RNA Secondary Structure Prediction using Extreme Learning Machine with Clustering Under-Sampling Technique.- Multi-Instance Multi-label learning by Extreme Learning Machine.- A Randomly Weighted Gabor Network for Visual-Thermal Infrared Face Recognition.- Dynamic Adjustment of Hidden Layer Structure for Convex Incremental Extreme Learning Machine.- ELMVIS+: Improved Nonlinear Visualization Technique using Cosine Distance and Extreme Learning Machines.- On Mutual Information over non-Euclidean Spaces, Data Mining and Data Privacy Levels.- Probabilistic Methods for Multiclass Classification Problems.- A Pruning Ensemble Model of Extreme Learning Machine with L1/2 Regularizer.- Evaluating Confidence Intervals for ELM Predictions.- Real-Time Driver Fatigue Detection Based on ELM.- A High Speed Multi-label Classifier based on Extreme Learning Machines.- Image Super-Resolution by PSOSEN of Local Receptive Fields Based Extreme Learning Machine.- Sparse ExtremeLearning Machine for Regression.- WELM：Extreme Learning Machine with Wavelet Dynamic Co-Movement Analysis in High-Dimensional Time Series.

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Del 7 i serien Proceedings in Adaptation, Learning and Optimization

Proceedings of ELM-2015 Volume 2

Theory, Algorithms and Applications (II)

Häftad, Engelska, 2018

AvJiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse

2 949 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Produktinformation

Utgivningsdatum2018-03-30
Mått155 x 235 x 29 mm
Vikt791 g
FormatHäftad
SpråkEngelska
SerieProceedings in Adaptation, Learning and Optimization
Antal sidor516
FörlagSpringer International Publishing AG
ISBN9783319803388

Tillhör följande kategorier

Anatomi inom Medicin
Systemvetenskap och AI inom Data och IT
Biologi inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Large-Scale Scene Recognition based on Extreme Learning Machines.- Partially Connected ELM for Fast and Effective Scene Classification Optimization.- Two-Layer Extreme Learning Machine for Dimension Reduction.- Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier.- An Adaptive Online Sequential Extreme Learning Machine for Real-Time Tidal Level Prediction.- Optimization of Outsourcing ELM problems in Cloud Computing from Multi-Parties.- H-MRST: A Novel Framework For Support Uncertain Data Range Query Using ELM.- The SVM-ELM Model based on Particle Swarm Optimization.- ELM-ML: Study on Multi-Label Classification using Extreme Learning Machine.- Sentiment Analysis of Chinese Micro Blog based on DNN and ELM and Vector Space Model.- Self Forward and Information Dissemination Prediction Research in SINA Microblog Using ELM.- Sparse Coding Extreme Learning Machine for Classification.- Continuous Top-K Remarkable comments Over Textual Streaming Data UsingELM.- ELM based Representational Learning for Fault Diagnosis of Wind Turbine Equipment.- Prediction of Pulp Concentration Using Extreme Learning Machine.- Rational and Self-Adaptive Evolutionary Extreme Learning Machine for Electricity Price Forecast.- Contractive ML-ELM for Invariance Robust Feature Extraction.- Automated Human Facial Expression Recognition Using Extreme Learning Machines.- Multi-Modal Deep Extreme Learning Machine for Robotic Grasping Recognition.- Denoising Deep Extreme Learning Machines for Sparse Representation.- Extreme Learning Machine based Point-of-Interest Recommendation in Location-based Social Networks.- The Granule-Based Interval Forecast for Wind Speed.- KELM : An Improved K-means Clustering Method using Extreme Learning Machine.- Wind Power Ramp Events Classification using Extreme Learning Machines.- Facial Expression Recognition Based on Ensemble Extreme Learning Machine with Eye Movements Information.- Correlation between Extreme Learning Machine andEntorhinal Hippocampal System.- RNA Secondary Structure Prediction using Extreme Learning Machine with Clustering Under-Sampling Technique.- Multi-Instance Multi-label learning by Extreme Learning Machine.- A Randomly Weighted Gabor Network for Visual-Thermal Infrared Face Recognition.- Dynamic Adjustment of Hidden Layer Structure for Convex Incremental Extreme Learning Machine.- ELMVIS+: Improved Nonlinear Visualization Technique using Cosine Distance and Extreme Learning Machines.- On Mutual Information over non-Euclidean Spaces, Data Mining and Data Privacy Levels.- Probabilistic Methods for Multiclass Classification Problems.- A Pruning Ensemble Model of Extreme Learning Machine with L1/2 Regularizer.- Evaluating Confidence Intervals for ELM Predictions.- Real-Time Driver Fatigue Detection Based on ELM.- A High Speed Multi-label Classifier based on Extreme Learning Machines.- Image Super-Resolution by PSOSEN of Local Receptive Fields Based Extreme Learning Machine.- Sparse ExtremeLearning Machine for Regression.- WELM：Extreme Learning Machine with Wavelet Dynamic Co-Movement Analysis in High-Dimensional Time Series.

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Proceedings of ELM-2015 Volume 2

Theory, Algorithms and Applications (II)

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Proceedings of ELM-2015 Volume 2

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Proceedings of ELM-2015 Volume 2

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Proceedings of ELM-2015 Volume 2

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Du kanske också är intresserad av

Proceedings of ELM-2015 Volume 2

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Innehållsförteckning

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