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Author :
Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (93 download)
Download or read book Advances in Extreme Learning Machine (ELM 2011) written by and published by . This book was released on 2013 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guangbing Huang
Publisher :
ISBN 13 :
Total Pages : 183 pages
Book Rating : 4.:/5 (17 download)
Download or read book Special Issue: Advances in Extreme Learning Machines (ELM 2011) written by Guangbing Huang and published by . This book was released on 2013 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guang Bin Huang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (958 download)
Download or read book Advances in Extreme Learning Machines (ELM 2014) written by Guang Bin Huang and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.:/5 (931 download)
Download or read book Contains Special Issue Articles: Advances in Extreme Learning Machine written by and published by . This book was released on 2014 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (838 download)
Download or read book Advances in Extreme Learning Machine written by and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : International Workshop of Extreme Learning Machines. 2010, Adelaide
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (756 download)
Download or read book Special Issue: Advances in Extreme Learning Machine written by International Workshop of Extreme Learning Machines. 2010, Adelaide and published by . This book was released on 2011 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guangbing Huang
Publisher :
ISBN 13 :
Total Pages : 516 pages
Book Rating : 4.:/5 (876 download)
Download or read book Advances in Extreme Learning Machines written by Guangbing Huang and published by . This book was released on 2014 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alberto Prieto
Publisher :
ISBN 13 :
Total Pages : 300 pages
Book Rating : 4.:/5 (754 download)
Download or read book Advances in Extreme Learning Machine: Theory and Applications written by Alberto Prieto and published by . This book was released on 2011 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kaj-Mikael Björk
Publisher : Springer Nature
ISBN 13 : 3031216784
Total Pages : 179 pages
Book Rating : 4.0/5 (312 download)
Download or read book Proceedings of ELM 2021 written by Kaj-Mikael Björk and published by Springer Nature. This book was released on 2023-01-18 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
Author : Jiuwen Cao
Publisher : Springer
ISBN 13 : 3319283979
Total Pages : 516 pages
Book Rating : 4.3/5 (192 download)
Download or read book Proceedings of ELM-2015 Volume 1 written by Jiuwen Cao and published by Springer. This book was released on 2015-12-31 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Derong Liu
Publisher : Springer
ISBN 13 : 3642211054
Total Pages : 667 pages
Book Rating : 4.6/5 (422 download)
Download or read book Advances in Neural Networks -- ISNN 2011 written by Derong Liu and published by Springer. This book was released on 2011-05-20 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.
Author : Ignacio Rojas
Publisher : Springer
ISBN 13 : 3319192221
Total Pages : 637 pages
Book Rating : 4.3/5 (191 download)
Download or read book Advances in Computational Intelligence written by Ignacio Rojas and published by Springer. This book was released on 2015-06-05 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 9094 and LNCS 9095 constitutes the thoroughly refereed proceedings of the 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, held in Palma de Mallorca, Spain, in June 2013. The 99 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 195 submissions. The papers are organized in topical sections on brain-computer interfaces: applications and tele-services; multi-robot systems: applications and theory (MRSAT); video and image processing; transfer learning; structures, algorithms and methods in artificial intelligence; interactive and cognitive environments; mathematical and theoretical methods in fuzzy systems; pattern recognition; embedded intelligent systems; expert systems; advances in computational intelligence; and applications of computational intelligence.
Author : Shui-Hua Wang
Publisher : Springer
ISBN 13 : 9811040265
Total Pages : 237 pages
Book Rating : 4.8/5 (11 download)
Download or read book Pathological Brain Detection written by Shui-Hua Wang and published by Springer. This book was released on 2018-07-20 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer’s detection, multiple sclerosis detection, etc.
Author : Jiuwen Cao
Publisher : Springer
ISBN 13 : 3030015203
Total Pages : 340 pages
Book Rating : 4.0/5 (3 download)
Download or read book Proceedings of ELM-2017 written by Jiuwen Cao and published by Springer. This book was released on 2018-10-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4–7, 2017. The book covers theories, algorithms and applications of ELM. Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. It gives readers a glance of the most recent advances of ELM.
Author : Kohei Arai
Publisher : Springer
ISBN 13 : 303012388X
Total Pages : 1061 pages
Book Rating : 4.0/5 (31 download)
Download or read book Advances in Information and Communication written by Kohei Arai and published by Springer. This book was released on 2019-02-01 with total page 1061 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a remarkable collection of chapters that cover a wide range of topics in the areas of information and communication technologies and their real-world applications. It gathers the Proceedings of the Future of Information and Communication Conference 2019 (FICC 2019), held in San Francisco, USA from March 14 to 15, 2019. The conference attracted a total of 462 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. Following a double-blind peer review process, 160 submissions (including 15 poster papers) were ultimately selected for inclusion in these proceedings. The papers highlight relevant trends in, and the latest research on: Communication, Data Science, Ambient Intelligence, Networking, Computing, Security, and the Internet of Things. Further, they address all aspects of Information Science and communication technologies, from classical to intelligent, and both the theory and applications of the latest technologies and methodologies. Gathering chapters that discuss state-of-the-art intelligent methods and techniques for solving real-world problems, along with future research directions, the book represents both an interesting read and a valuable asset.
Author : Tru Cao
Publisher : Springer
ISBN 13 : 331918038X
Total Pages : 785 pages
Book Rating : 4.3/5 (191 download)
Download or read book Advances in Knowledge Discovery and Data Mining written by Tru Cao and published by Springer. This book was released on 2015-04-16 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.
Author :
Publisher : ScholarlyEditions
ISBN 13 : 1464990697
Total Pages : 1934 pages
Book Rating : 4.4/5 (649 download)
Download or read book Advances in Machine Learning Research and Application: 2012 Edition written by and published by ScholarlyEditions. This book was released on 2012-12-26 with total page 1934 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning Research and Application / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Machine Learning. The editors have built Advances in Machine Learning Research and Application / 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Machine Learning in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application / 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
