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1. Full Text Convex incremental extreme learning machine
by Huang, Guang-Bin and Chen, Lei
Neurocomputing (Amsterdam), ISSN 0925-2312, 2007, Volume 70, Issue 16, pp. 3056 - 3062
Convergence rate | Generalized feedforward networks | Random hidden nodes | Incremental extreme learning machine | Convex optimization | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Neural networks | Algorithms
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2. Full Text Extreme learning machines: a survey
by Huang, Guang-Bin and Wang, Dian Hui and Lan, Yuan
International journal of machine learning and cybernetics, ISSN 1868-8071, 6/2011, Volume 2, Issue 2, pp. 107 - 122
Extreme learning machine | Online sequential learning | Support vector machine | Statistical Physics, Dynamical Systems and Complexity | ELM feature space | Systems Biology | ELM kernel | Engineering | Pattern Recognition | Incremental learning | Computational Intelligence | Control, Robotics, Mechatronics | Ensemble | Artificial Intelligence (incl. Robotics) | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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3. Full Text Enhanced random search based incremental extreme learning machine
by Huang, Guang-Bin and Chen, Lei
Neurocomputing (Amsterdam), ISSN 0925-2312, 2008, Volume 71, Issue 16, pp. 3460 - 3468
Convergence rate | Random hidden nodes | Incremental extreme learning machine | Random search | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Searches and seizures | Algorithms
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4. Full Text Gram–Schmidt process based incremental extreme learning machine
by Zhao, Yong-Ping and Li, Zhi-Qiang and Xi, Peng-Peng and Liang, Dong and Sun, Liguo and Chen, Ting-Hao
Neurocomputing (Amsterdam), ISSN 0925-2312, 06/2017, Volume 241, pp. 1 - 17
Incremental learning | Gram–Schmidt process | Extreme learning machine | QR decomposition | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Algorithms | Electric power systems | Data mining | Neural networks
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5. Full Text An incremental extreme learning machine for online sequential learning problems
by Guo, Lu and Hao, Jing-hua and Liu, Min
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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6. Full Text Bankruptcy prediction using Extreme Learning Machine and financial expertise
by Yu, Qi and Miche, Yoan and Séverin, Eric and Lendasse, Amaury
Neurocomputing (Amsterdam), ISSN 0925-2312, 03/2014, Volume 128, pp. 296 - 302
Leave-One-Out | Extreme Learning Machine | Incremental Learning | Bankruptcy Prediction | Data processing. List processing. Character string processing | Memory organisation. Data processing | Exact sciences and technology | Applied sciences | Connectionism. Neural networks | Software | Artificial intelligence | Computer science; control theory; systems | Computer science | Analysis | Bankruptcy | Learning | Tasks | Neurons | Classification | Strategy | Bankruptcies | Indicators | Plugs
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7. Full Text Sparse pseudoinverse incremental extreme learning machine
by Kassani, Peyman Hosseinzadeh and Teoh, Andrew Beng Jin and Kim, Euntai
Neurocomputing (Amsterdam), ISSN 0925-2312, 04/2018, Volume 287, pp. 128 - 142
Hidden neuron | Extreme learning machine | Sparsity | Matrix decomposition | Least squares estimation | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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8. Full Text Elastic extreme learning machine for big data classification
by Xin, Junchang and Wang, Zhiqiong and Qu, Luxuan and Wang, Guoren
Neurocomputing (Amsterdam), ISSN 0925-2312, 02/2015, Volume 149, pp. 464 - 471
Incremental learning | Correctional learning | Extreme learning machine | Big data classification | Decremental learning | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Analysis | Big data | Learning | Training | Multiplication | Tasks | Computation | Neural networks | Mathematical analysis | Shortages | Convergence
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9. Full Text Modified bidirectional extreme learning machine with Gram–Schmidt orthogonalization method
by Zeng, Guoqiang and Zhang, Baihai and Yao, Fenxi and Chai, Senchun
Neurocomputing (Amsterdam), ISSN 0925-2312, 11/2018, Volume 316, pp. 405 - 414
Orthogonalization method | Universal approximator | Inefficient nodes | Incremental extreme learning machine | Least square solution
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10. Full Text Incremental laplacian regularization extreme learning machine for online learning
by Yang, Lixia and Yang, Shuyuan and Li, Sujing and Liu, Zhi and Jiao, Licheng
Applied soft computing, ISSN 1568-4946, 10/2017, Volume 59, pp. 546 - 555
Extreme learning machine | Semi-supervised incremental/online learning | Graph laplacian | Incremental laplacian regularization | Computer Science, Artificial Intelligence | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Science & Technology | Electrical engineering | Online education | Data mining | Machine learning
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11. Full Text Constructive hidden nodes selection of extreme learning machine for regression
by Lan, Yuan and Soh, Yeng Chai and Huang, Guang-Bin
Neurocomputing (Amsterdam), ISSN 0925-2312, 2010, Volume 73, Issue 16, pp. 3191 - 3199
Error-minimized extreme learning machine | Constructive method | Incremental extreme learning machine | Extreme learning machine | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Analysis | Algorithms | Learning | Networks | Construction | Construction equipment | Elm | Regression | Optimization | Neural networks
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12. Full Text A-ELM⁎: Adaptive Distributed Extreme Learning Machine with MapReduce
by Xin, Junchang and Wang, Zhiqiong and Qu, Luxuan and Yu, Ge and Kang, Yan
Neurocomputing (Amsterdam), ISSN 0925-2312, 01/2016, Volume 174, pp. 368 - 374
Incremental hidden nodes | Extreme Learning Machine | Decremental hidden nodes | MapReduce | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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13. Full Text Timeliness online regularized extreme learning machine
by Luo, Xiong and Luo, Xiong and Yang, Xiaona and Yang, Xiaona and Jiang, Changwei and Jiang, Changwei and Ban, Xiaojuan and Ban, Xiaojuan
International journal of machine learning and cybernetics, ISSN 1868-8071, 3/2018, Volume 9, Issue 3, pp. 465 - 476
Engineering | Pattern Recognition | Incremental learning | Computational Intelligence | Extreme learning machine | Timeliness online regularized extreme learning machine | Control, Robotics, Mechatronics | Complex Systems | Artificial Intelligence (incl. Robotics) | Systems Biology | Regularization | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Training | Algorithms | Teaching methods | Distance learning | Computer simulation | Neural networks | Machine learning | Feedforward | Empirical analysis
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14. Full Text Ensemble delta test-extreme learning machine (DT-ELM) for regression
by Yu, Qi and van Heeswijk, Mark and Miche, Yoan and Nian, Rui and He, Bo and Séverin, Eric and Lendasse, Amaury
Neurocomputing (Amsterdam), ISSN 0925-2312, 04/2014, Volume 129, pp. 153 - 158
Delta test | Incremental learning | Extreme learning machine | Bayesian information criterion | Ensemble modeling | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Applied sciences | Connectionism. Neural networks | Artificial intelligence | Exact sciences and technology | Computer science; control theory; systems | Computer science | Security software | Analysis | Learning | Deltas | Networks | Neural networks | Searching | Regression | Criteria | Bayesian analysis
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