Proceedings Of Elm 2014 Volume 2

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Proceedings of ELM-2014 Volume 2

Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh
Proceedings of ELM 2014 Volume 2 Book PDF

Author : Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh
Publisher : Springer
Page : 400 pages
File Size : 48,6 Mb
Release : 2014-12-09
Category : Technology & Engineering
ISBN : 9783319140667

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Proceedings of ELM-2014 Volume 2 by Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh Pdf

This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the readers a glance of the most recent advances of ELM.

Proceedings of ELM-2014 Volume 1

Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh
Proceedings of ELM 2014 Volume 1 Book PDF

Author : Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh
Publisher : Springer
Page : 446 pages
File Size : 55,8 Mb
Release : 2014-12-04
Category : Technology & Engineering
ISBN : 9783319140636

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Proceedings of ELM-2014 Volume 1 by Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh Pdf

This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the readers a glance of the most recent advances of ELM.

Proceedings of ELM-2015 Volume 2

Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse
Proceedings of ELM 2015 Volume 2 Book PDF

Author : Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse
Publisher : Springer
Page : 516 pages
File Size : 41,6 Mb
Release : 2016-01-02
Category : Technology & Engineering
ISBN : 9783319283739

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Proceedings of ELM-2015 Volume 2 by Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse Pdf

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.

Proceedings of ELM-2014 Volume 1

Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh
Proceedings of ELM 2014 Volume 1 Book PDF

Author : Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh
Publisher : Springer
Page : 0 pages
File Size : 44,8 Mb
Release : 2016-08-23
Category : Technology & Engineering
ISBN : 331936684X

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Proceedings of ELM-2014 Volume 1 by Jiuwen Cao,Kezhi Mao,Erik Cambria,Zhihong Man,Kar-Ann Toh Pdf

This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the readers a glance of the most recent advances of ELM.

Proceedings of ELM-2017

Jiuwen Cao,Chi Man Vong,Yoan Miche,Amaury Lendasse
Proceedings of ELM 2017 Book PDF

Author : Jiuwen Cao,Chi Man Vong,Yoan Miche,Amaury Lendasse
Publisher : Springer
Page : 340 pages
File Size : 45,9 Mb
Release : 2018-10-16
Category : Technology & Engineering
ISBN : 9783030015206

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Proceedings of ELM-2017 by Jiuwen Cao,Chi Man Vong,Yoan Miche,Amaury Lendasse Pdf

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.

Proceedings of ELM-2015 Volume 1

Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse
Proceedings of ELM 2015 Volume 1 Book PDF

Author : Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse
Publisher : Springer
Page : 532 pages
File Size : 47,6 Mb
Release : 2015-12-31
Category : Technology & Engineering
ISBN : 9783319283975

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Proceedings of ELM-2015 Volume 1 by Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse Pdf

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.

Intelligent Computing Theories and Application

De-Shuang Huang,Vitoantonio Bevilacqua,Abir Hussain
Intelligent Computing Theories and Application Book PDF

Author : De-Shuang Huang,Vitoantonio Bevilacqua,Abir Hussain
Publisher : Springer Nature
Page : 614 pages
File Size : 43,6 Mb
Release : 2020-10-13
Category : Computers
ISBN : 9783030607999

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Intelligent Computing Theories and Application by De-Shuang Huang,Vitoantonio Bevilacqua,Abir Hussain Pdf

This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology.

Bio-Inspired Computation and Applications in Image Processing

Xin-She Yang,João Paulo Papa
Bio Inspired Computation and Applications in Image Processing Book PDF

Author : Xin-She Yang,João Paulo Papa
Publisher : Academic Press
Page : 374 pages
File Size : 54,5 Mb
Release : 2016-08-09
Category : Technology & Engineering
ISBN : 9780128045374

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Bio-Inspired Computation and Applications in Image Processing by Xin-She Yang,João Paulo Papa Pdf

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications

Computational Science and Its Applications – ICCSA 2017

Osvaldo Gervasi,Beniamino Murgante,Sanjay Misra,Giuseppe Borruso,Carmelo M. Torre,Ana Maria A.C. Rocha,David Taniar,Bernady O. Apduhan,Elena Stankova,Alfredo Cuzzocrea
Computational Science and Its Applications ICCSA 2017 Book PDF

Author : Osvaldo Gervasi,Beniamino Murgante,Sanjay Misra,Giuseppe Borruso,Carmelo M. Torre,Ana Maria A.C. Rocha,David Taniar,Bernady O. Apduhan,Elena Stankova,Alfredo Cuzzocrea
Publisher : Springer
Page : 825 pages
File Size : 42,5 Mb
Release : 2017-07-14
Category : Computers
ISBN : 9783319624075

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Computational Science and Its Applications – ICCSA 2017 by Osvaldo Gervasi,Beniamino Murgante,Sanjay Misra,Giuseppe Borruso,Carmelo M. Torre,Ana Maria A.C. Rocha,David Taniar,Bernady O. Apduhan,Elena Stankova,Alfredo Cuzzocrea Pdf

The six-volume set LNCS 10404-10409 constitutes the refereed proceedings of the 17th International Conference on Computational Science and Its Applications, ICCSA 2017, held in Trieste, Italy, in July 2017. The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43 international workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as computer graphics and virtual reality. Furthermore, this year ICCSA 2017 hosted the XIV International Workshop On Quantum Reactive Scattering. The program also featured 3 keynote speeches and 4 tutorials.

Information Technology in Bio- and Medical Informatics

M. Elena Renda,Miroslav Bursa,Andreas Holzinger,Sami Khuri
Information Technology in Bio and Medical Informatics Book PDF

Author : M. Elena Renda,Miroslav Bursa,Andreas Holzinger,Sami Khuri
Publisher : Springer
Page : 253 pages
File Size : 55,5 Mb
Release : 2016-08-05
Category : Computers
ISBN : 9783319439495

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Information Technology in Bio- and Medical Informatics by M. Elena Renda,Miroslav Bursa,Andreas Holzinger,Sami Khuri Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2016, held in Porto, Portugal, in September 2016, in conjunction with DEXA 2016. The 9 revised long papers presented together with 11 poster papers were carefully reviewed and selected from 26 submissions. The papers address the following topics: biomedical data analysis and warehousing; information technologies in brain science; and social networks and process analysis in biomedicine.

Imaging: Sensors and Technologies

Gonzalo Pajares Martinsanz
Imaging Sensors and Technologies Book PDF

Author : Gonzalo Pajares Martinsanz
Publisher : MDPI
Page : 635 pages
File Size : 46,6 Mb
Release : 2018-07-06
Category : Science (General)
ISBN : 9783038423607

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Imaging: Sensors and Technologies by Gonzalo Pajares Martinsanz Pdf

This book is a printed edition of the Special Issue "Imaging: Sensors and Technologies" that was published in Sensors

AI and Machine Learning for Network and Security Management

Yulei Wu,Jingguo Ge,Tong Li
AI and Machine Learning for Network and Security Management Book PDF

Author : Yulei Wu,Jingguo Ge,Tong Li
Publisher : John Wiley & Sons
Page : 308 pages
File Size : 47,9 Mb
Release : 2022-11-08
Category : Computers
ISBN : 9781119835875

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AI and Machine Learning for Network and Security Management by Yulei Wu,Jingguo Ge,Tong Li Pdf

AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in this thought-provoking work include: How cognitive means, e.g., knowledge transfer, can help with network and security management How different advanced AI and machine learning techniques can be useful and helpful to facilitate network automation How the introduced techniques can be applied to many other related network and security management tasks Network engineers, content service providers, and cybersecurity service providers can use AI and Machine Learning for Network and Security Management to make better and more informed decisions in their areas of specialization. Students in a variety of related study programs will also derive value from the work by gaining a base understanding of historical foundational knowledge and seeing the key recent developments that have been made in the field.

Machine Learning and Deep Learning in Real-Time Applications

Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan
Machine Learning and Deep Learning in Real Time Applications Book PDF

Author : Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan
Publisher : IGI Global
Page : 344 pages
File Size : 44,6 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9781799830979

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Machine Learning and Deep Learning in Real-Time Applications by Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan Pdf

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

Advances in Intelligent Systems, Computer Science and Digital Economics IV

Zhengbing Hu,Yong Wang,Matthew He
Advances in Intelligent Systems Computer Science and Digital Economics IV Book PDF

Author : Zhengbing Hu,Yong Wang,Matthew He
Publisher : Springer Nature
Page : 993 pages
File Size : 52,9 Mb
Release : 2023-01-28
Category : Technology & Engineering
ISBN : 9783031244759

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Advances in Intelligent Systems, Computer Science and Digital Economics IV by Zhengbing Hu,Yong Wang,Matthew He Pdf

This book comprises high-quality peer-reviewed research papers presented at the 4th International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2022), held in Wuhan, China, from November 11–13, 2022, organized jointly by the Wuhan University of Technology, Hubei University of Technology, Wuhan University of Science and Technology, the Polish Operational and Systems Society, and the International Center of Informatics and Computer Science (ICICS). The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and educational approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and management.

Artificial Neural Networks and Machine Learning – ICANN 2017

Alessandra Lintas,Stefano Rovetta,Paul F.M.J. Verschure,Alessandro E.P. Villa
Artificial Neural Networks and Machine Learning ICANN 2017 Book PDF

Author : Alessandra Lintas,Stefano Rovetta,Paul F.M.J. Verschure,Alessandro E.P. Villa
Publisher : Springer
Page : 815 pages
File Size : 50,5 Mb
Release : 2017-10-24
Category : Computers
ISBN : 9783319686127

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Artificial Neural Networks and Machine Learning – ICANN 2017 by Alessandra Lintas,Stefano Rovetta,Paul F.M.J. Verschure,Alessandro E.P. Villa Pdf

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning. There are 63 short paper abstracts that are included in the back matter of the volume.