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Proceedings of ELM-2015 Volume 1 : Theory, Algorithms and Applications (I) / / edited by Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse
| Proceedings of ELM-2015 Volume 1 : Theory, Algorithms and Applications (I) / / edited by Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (516 p.) |
| Disciplina | 006.3 |
| Collana | Proceedings in Adaptation, Learning and Optimization |
| Soggetto topico |
Computational intelligence
Artificial intelligence Bioinformatics Data mining Computational Intelligence Artificial Intelligence Computational Biology/Bioinformatics Data Mining and Knowledge Discovery |
| ISBN | 3-319-28397-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. . |
| Record Nr. | UNINA-9910254202003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of ELM-2015 Volume 2 : Theory, Algorithms and Applications (II) / / edited by Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse
| Proceedings of ELM-2015 Volume 2 : Theory, Algorithms and Applications (II) / / edited by Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (507 p.) |
| Disciplina | 006.3 |
| Collana | Proceedings in Adaptation, Learning and Optimization |
| Soggetto topico |
Computational intelligence
Artificial intelligence Bioinformatics Data mining Computational Intelligence Artificial Intelligence Computational Biology/Bioinformatics Data Mining and Knowledge Discovery |
| ISBN | 3-319-28373-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Extreme Learning Machine and Entorhinal 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 Extreme Learning Machine for Regression -- WELM：Extreme Learning Machine with Wavelet Dynamic Co-Movement Analysis in High-Dimensional Time Series. |
| Record Nr. | UNINA-9910254259303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||