Innovations in Neural Information Paradigms and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642040020
Total Pages : 297 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Innovations in Neural Information Paradigms and Applications by : Monica Bianchini

Download or read book Innovations in Neural Information Paradigms and Applications written by Monica Bianchini and published by Springer Science & Business Media. This book was released on 2009-10-16 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as algorithms in a computer friendly way, involves not only Mathem- ics and Computer Science but also Biology, Psychology, Cognition and Philosophy (among many other disciplines). Generally speaking, computers are fundamentally well-suited for performing au- matic computations, based on fixed, programmed rules, i.e. in facing efficiently and reliably monotonous tasks, often extremely time-consuming from a human point of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in tackling such complex tasks. On the other hand, humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial intelligence can help us understanding this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities.

Innovations in Neural Information Paradigms and Applications

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Publisher : Springer
ISBN 13 : 3642040039
Total Pages : 297 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Innovations in Neural Information Paradigms and Applications by : Monica Bianchini

Download or read book Innovations in Neural Information Paradigms and Applications written by Monica Bianchini and published by Springer. This book was released on 2009-10-13 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as algorithms in a computer friendly way, involves not only Mathem- ics and Computer Science but also Biology, Psychology, Cognition and Philosophy (among many other disciplines). Generally speaking, computers are fundamentally well-suited for performing au- matic computations, based on fixed, programmed rules, i.e. in facing efficiently and reliably monotonous tasks, often extremely time-consuming from a human point of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in tackling such complex tasks. On the other hand, humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial intelligence can help us understanding this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities.

Artificial Intelligence

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 183962387X
Total Pages : 160 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Artificial Intelligence by :

Download or read book Artificial Intelligence written by and published by BoD – Books on Demand. This book was released on 2021-09-01 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science.

Artificial Neural Systems

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Author :
Publisher : Pergamon
ISBN 13 :
Total Pages : 232 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Artificial Neural Systems by : Patrick K. Simpson

Download or read book Artificial Neural Systems written by Patrick K. Simpson and published by Pergamon. This book was released on 1990 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence Paradigms

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Publisher : Springer Science & Business Media
ISBN 13 : 3540794735
Total Pages : 281 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence Paradigms by : L. C. Jain

Download or read book Computational Intelligence Paradigms written by L. C. Jain and published by Springer Science & Business Media. This book was released on 2008-06-12 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research on the innovative applications of advanced computational intelligence paradigms. Coverage includes architectures of computational intelligence paradigms, knowledge discovery, pattern classification, and gene linkage analysis.

Applications of Neural Networks in High Assurance Systems

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642106897
Total Pages : 255 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Applications of Neural Networks in High Assurance Systems by : Johann M.Ph. Schumann

Download or read book Applications of Neural Networks in High Assurance Systems written by Johann M.Ph. Schumann and published by Springer Science & Business Media. This book was released on 2010-02-28 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.

Advances in Machine Learning I

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Publisher : Springer Science & Business Media
ISBN 13 : 3642051766
Total Pages : 521 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Machine Learning I by : Jacek Koronacki

Download or read book Advances in Machine Learning I written by Jacek Koronacki and published by Springer Science & Business Media. This book was released on 2010-02-04 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of expertise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and exceptionally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.

Advances in Intelligent Information Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642051820
Total Pages : 366 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Intelligent Information Systems by : Zbigniew W Ras

Download or read book Advances in Intelligent Information Systems written by Zbigniew W Ras and published by Springer Science & Business Media. This book was released on 2010-02-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Information Systems (IIS) can be defined as the next generation of Information Systems (IS) developed as a result of integration of AI and database (DB) technologies. IIS embody knowledge that allows them to exhibit intelligent behavior, allows them to cooperate with users and other systems in problem solving, discovery, retrieval, and manipulation of data and knowledge. For any IIS to serve its purpose, the information must be available when it is needed. This means that the computing systems used to store data and process the information, and the security controls used to protect it must be functioning correctly. This book covers some of the above topics and it is divided into four sections: Classification, Approximation and Data Security, Knowledge Management, and Application of IIS to medical and music domains.

Advances in Information and Intelligent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 364204140X
Total Pages : 353 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Information and Intelligent Systems by : Zbigniew W Ras

Download or read book Advances in Information and Intelligent Systems written by Zbigniew W Ras and published by Springer Science & Business Media. This book was released on 2009-10-12 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The College of Computing and Informatics (CCI) at UNC-Charlotte has three departments: Computer Science, Software and Information Systems, and Bioinformatics and Genomics. The Department of Computer Science offers study in a variety of specialized computing areas such as database design, knowledge systems, computer graphics, artificial intelligence, computer networks, game design, visualization, computer vision, and virtual reality. The Department of Software and Information Systems is primarily focused on the study of technologies and methodologies for information system architecture, design, implementation, integration, and management with particular emphasis on system security. The Department of Bioinformatics and Genomics focuses on the discovery, development and application of novel computational technologies to help solve important biological problems. This volume gives an overview of research done by CCI faculty in the area of Information & Intelligent Systems. Presented papers focus on recent advances in four major directions: Complex Systems, Knowledge Management, Knowledge Discovery, and Visualization. A major reason for producing this book was to demonstrate a new, important thrust in academic research where college-wide interdisciplinary efforts are brought to bear on large, general, and important problems. As shown in the research described here, these efforts need not be formally organized joint undertakings (through parts could be) but are rather a convergence of interests around grand themes.

Brain-Inspired Information Technology

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Publisher : Springer Science & Business Media
ISBN 13 : 3642040241
Total Pages : 176 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Brain-Inspired Information Technology by : Akitoshi Hanazawa

Download or read book Brain-Inspired Information Technology written by Akitoshi Hanazawa and published by Springer Science & Business Media. This book was released on 2010-09-22 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Brain-inspired information technology" is one of key concepts for the development of information technology in the next generation. Explosive progress of computer technology has been continuing based on a simple principle called "if-then rule". This means that the programmer of software have to direct every action of the computer programs in response to various inputs. There inherently is a limitation of complexity because we human have a limited capacity for managing complex systems. Actually, many bugs, mistakes of programming, exist in computer software, and it is quite difficult to extinguish them. The parts of computer programs where computer viruses attack are also a kind of programming mistakes, called security hole. Of course, human body or nervous system is not perfect. No creator or director, however, exists for us. The function of our brain is equipped by learning, self-organization, natural selection, and etc, resulting in adaptive and flexible information system. Brain-inspired information technology is aiming to realize such nature-made information processing system by using present computer system or specific hardware. To do so, researchers in various research fields are getting together to inspire each other and challenge cooperatively for the same goal.

Hybrid Random Fields

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Publisher : Springer Science & Business Media
ISBN 13 : 3642203086
Total Pages : 217 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Hybrid Random Fields by : Antonino Freno

Download or read book Hybrid Random Fields written by Antonino Freno and published by Springer Science & Business Media. This book was released on 2011-04-11 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an exciting new synthesis of directed and undirected, discrete and continuous graphical models. Combining elements of Bayesian networks and Markov random fields, the newly introduced hybrid random fields are an interesting approach to get the best of both these worlds, with an added promise of modularity and scalability. The authors have written an enjoyable book---rigorous in the treatment of the mathematical background, but also enlivened by interesting and original historical and philosophical perspectives. -- Manfred Jaeger, Aalborg Universitet The book not only marks an effective direction of investigation with significant experimental advances, but it is also---and perhaps primarily---a guide for the reader through an original trip in the space of probabilistic modeling. While digesting the book, one is enriched with a very open view of the field, with full of stimulating connections. [...] Everyone specifically interested in Bayesian networks and Markov random fields should not miss it. -- Marco Gori, Università degli Studi di Siena Graphical models are sometimes regarded---incorrectly---as an impractical approach to machine learning, assuming that they only work well for low-dimensional applications and discrete-valued domains. While guiding the reader through the major achievements of this research area in a technically detailed yet accessible way, the book is concerned with the presentation and thorough (mathematical and experimental) investigation of a novel paradigm for probabilistic graphical modeling, the hybrid random field. This model subsumes and extends both Bayesian networks and Markov random fields. Moreover, it comes with well-defined learning algorithms, both for discrete and continuous-valued domains, which fit the needs of real-world applications involving large-scale, high-dimensional data.

Advances in Machine Learning II

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Publisher : Springer
ISBN 13 : 3642051790
Total Pages : 530 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Machine Learning II by : Jacek Koronacki

Download or read book Advances in Machine Learning II written by Jacek Koronacki and published by Springer. This book was released on 2009-11-27 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of exp- tise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and excepti- ally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.

Deep Learning for Social Media Data Analytics

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Author :
Publisher : Springer Nature
ISBN 13 : 3031108698
Total Pages : 297 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Deep Learning for Social Media Data Analytics by : Tzung-Pei Hong

Download or read book Deep Learning for Social Media Data Analytics written by Tzung-Pei Hong and published by Springer Nature. This book was released on 2022-09-18 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.

Proceedings

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Publisher : Presses universitaires de Louvain
ISBN 13 : 2875870157
Total Pages : 615 pages
Book Rating : 4.8/5 (758 download)

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Book Synopsis Proceedings by : Michel Verleysen

Download or read book Proceedings written by Michel Verleysen and published by Presses universitaires de Louvain. This book was released on 2015 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Advances in Nonlinear Dynamics and Synchronization

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642042260
Total Pages : 401 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Recent Advances in Nonlinear Dynamics and Synchronization by : Kyandoghere Kyamakya

Download or read book Recent Advances in Nonlinear Dynamics and Synchronization written by Kyandoghere Kyamakya and published by Springer Science & Business Media. This book was released on 2009-09-28 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The selected contributions of this book shed light on a series of interesting aspects related to nonlinear dynamics and synchronization with the aim of demonstrating some of their interesting applications in a series of selected disciplines. This book contains thirteenth chapters which are organized around five main parts. The first part (containing five chapters) does focus on theoretical aspects and recent trends of nonlinear dynamics and synchronization. The second part (two chapters) presents some modeling and simulation issues through concrete application examples. The third part (two chapters) is focused on the application of nonlinear dynamics and synchronization in transportation. The fourth part (two chapters) presents some applications of synchronization in security-related system concepts. The fifth part (two chapters) considers further applications areas, i.e. pattern recognition and communication engineering.

Advances in Computational Intelligence

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Publisher : Springer
ISBN 13 : 3642386792
Total Pages : 687 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Computational Intelligence by : Ignacio Rojas

Download or read book Advances in Computational Intelligence written by Ignacio Rojas and published by Springer. This book was released on 2013-06-21 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications

Intelligent Systems for Knowledge Management

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Publisher : Springer Science & Business Media
ISBN 13 : 3642041698
Total Pages : 336 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Intelligent Systems for Knowledge Management by : Edward Szczerbicki

Download or read book Intelligent Systems for Knowledge Management written by Edward Szczerbicki and published by Springer Science & Business Media. This book was released on 2009-09-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.