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Knowledge-based systems, ISSN 0950-7051, 10/2017, Volume 134, pp. 31 - 49
Hierarchical ELM (H-ELM) | Time series forecasting (TSF) | Double deep ELMs ensemble system (DD-ELMs-ES) | Deep representations learning via ELM (dr-ELM) | Constrained H-ELM (CH-ELM) | Self-adaptive ReTSP-Trend (SA-ReTSP-Trend) | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Analysis | Forecasts and trends | Machine learning | Computer science | Algorithms | Neural networks | Time series | Mathematical models | Representations | Artificial intelligence | Forecasting
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Neurocomputing (Amsterdam), ISSN 0925-2312, 08/2020, Volume 403, pp. 45 - 52
Imbalanced data | VW-ELM | CCR-ELM | ELM | W-ELM | Control systems | Algorithms | Measuring instruments
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Neurocomputing (Amsterdam), ISSN 0925-2312, 01/2016, Volume 174, pp. 168 - 178
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Neurocomputing (Amsterdam), ISSN 0925-2312, 2010, Volume 74, Issue 1, pp. 155 - 163
Support vector network | Minimal norm of weights | Extreme learning machine | Support vector machine | ELM feature space | ELM kernel | Equivalence between ELM and SVM | Maximal margin | Primal and dual ELM networks | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Learning | Support vector machines | Computer simulation | Neural networks | Mathematical analysis | Classification | Standards | Optimization
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IEEE intelligent systems, ISSN 1541-1672, 11/2013, Volume 28, Issue 6, pp. 30 - 59
signature biometrics | deep networks | visualization | random projections | ELM | computation outsourcing | Nonhomogeneous media | ensemble | Learning systems | partitioned ELM | Kinect | evolutionary optimization | random permutations | representational learning | Big data | text mining | cloud computing | Adaptive learning | hand gesture signature verification | Special issues and sections | memetic computation | meta meme | Gesture recognition | OS-ELM | Biological neural networks | human-computer interaction | Data visualization | extreme learning machine | knowledge extraction | Machine learning | Artificial intelligence | online sequential ELM | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Applied sciences | Connectionism. Neural networks | Exact sciences and technology | Computer science; control theory; systems | Learning | Permutations | Cloud computing | Neural networks | Projection | Outsourcing | Signatures | Recognition
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Neurocomputing (Amsterdam), ISSN 0925-2312, 03/2014, Volume 128, pp. 88 - 95
Extreme learning machine (ELM) | ELM feature space | ELM kMeans | Nonnegative matrix factorization (NMF) | ELM NMF clustering | Data clustering | Memory organisation. Data processing | Exact sciences and technology | Algorithmics. Computability. Computer arithmetics | Connectionism. Neural networks | Mathematics | Sciences and techniques of general use | Computer science; control theory; systems | Data processing. List processing. Character string processing | Algebra | Linear and multilinear algebra, matrix theory | Theoretical computing | Applied sciences | Software | Artificial intelligence | Algorithms | Learning | Approximation | Mathematical analysis | Elm | Mapping | Clustering | Factorization | Neural networks
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Nuclear fusion, ISSN 0029-5515, 11/2013, Volume 53, Issue 11, pp. 113023 - 7
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Nuclear fusion, ISSN 0029-5515, 2/2014, Volume 54, Issue 3, pp. 33007 - 18
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Neurocomputing (Amsterdam), ISSN 0925-2312, 10/2017, Volume 261, pp. 126 - 143
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Nuclear fusion, ISSN 0029-5515, 3/2015, Volume 55, Issue 4, pp. 43011 - 15
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Neurocomputing (Amsterdam), ISSN 0925-2312, 03/2014, Volume 128, pp. 50 - 58
Extreme learning machine (ELM) | Fixed size LSSVM (FS-LSSVM) | Online sequential ELM (OS-ELM) | Incremental learning algorithm | Incremental ELM (IELM) | Memory organisation. Data processing | Exact sciences and technology | Microelectronic fabrication (materials and surfaces technology) | Electronics | Algorithmics. Computability. Computer arithmetics | Connectionism. Neural networks | Computer science; control theory; systems | Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices | Data processing. List processing. Character string processing | Theoretical computing | Applied sciences | Software | Artificial intelligence | Data mining | Analysis | Algorithms | Learning | Demand | Semiconductors | Neural networks | Mathematical models | Retraining | Online
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Environmental science and pollution research international, ISSN 0944-1344, 7/2017, Volume 24, Issue 20, pp. 16702 - 16724
Environmental Health | Ecotoxicology | Extreme learning machine | OS-ELM | S-ELM | Modeling | Environment, general | OP-ELM | MLPNN | R-ELM | MLR | Environment | Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution | Dissolved oxygen | Environmental Chemistry | Atmospheric Protection/Air Quality Control/Air Pollution | Environmental Sciences & Ecology | Life Sciences & Biomedicine | Science & Technology | Environmental Sciences | Linear Models | Oxygen | Rivers | Neural Networks (Computer) | Water Quality | Distance learning | Ecosystems | Activation | Datasets | Training | Learning | Accuracy | Geological surveys | Temperature effects | Basins | Turbidity | Mathematical models | Aversion learning | Statistical analysis | Ponds | Data processing | Regression analysis | Water temperature | Resistance | Stations | Learning algorithms | Serial learning | Neural networks | Water quality | Environment models | Models | Conductance | Artificial intelligence | Index Medicus
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