Proceedings of ELM-2015 Volume 2 : Theory, Algorithms and Applications (II)

• 作者： International Conference on Extreme Learning Machine (2015 : Hangzhou, China)
• 其他作者：
  • Cao, Jiuwen, editor.
  • Mao, Kezhi, editor.
  • Wu, Jonathan, editor.
  • Lendasse, Amaury, editor.
  • SpringerLink (Online service)
• 其他題名：
  • Proceedings in adaptation, learning and optimization ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Proceedings in adaptation, learning and optimization,7
• 主題： Artificial intelligence--Congresses. , Computational intelligence--Congresses. , Engineering. , Computational Intelligence. , Artificial Intelligence (incl. Robotics) , Computational Biology/Bioinformatics. , Bioinformatics. , Data Mining and Knowledge Discovery.
• ISBN： 9783319283739 (electronic bk.) 、 9783319283722 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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 Using ELM -- 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 Extrem
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• 摘要註: 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.
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