Adaptive Resonance Theory in Social Media Data Clustering

Download Adaptive Resonance Theory in Social Media Data Clustering PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3030029859
Total Pages : 200 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!


Book Synopsis Adaptive Resonance Theory in Social Media Data Clustering by : Lei Meng

Download or read book Adaptive Resonance Theory in Social Media Data Clustering written by Lei Meng and published by Springer. This book was released on 2019-04-30 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data: Basic knowledge (data & challenges) on social media analytics Clustering as a fundamental technique for unsupervised knowledge discovery and data mining A class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domain Adaptive Resonance Theory in Social Media Data Clustering stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction. It presents initiatives on the mathematical demonstration of ART’s learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks. Both cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you: How to process big streams of multimedia data? How to analyze social networks with heterogeneous data? How to understand a user’s interests by learning from online posts and behaviors? How to create a personalized search engine by automatically indexing and searching multimodal information resources? .

ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY

Download ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY PDF Online Free

Author :
Publisher : Book Rivers
ISBN 13 : 935515237X
Total Pages : 229 pages
Book Rating : 4.3/5 (551 download)

DOWNLOAD NOW!


Book Synopsis ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY by : Dr. Alpika Tripathi

Download or read book ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY written by Dr. Alpika Tripathi and published by Book Rivers. This book was released on 2022-07-12 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Learning Paradigms in Soft Computing

Download New Learning Paradigms in Soft Computing PDF Online Free

Author :
Publisher : Physica
ISBN 13 : 3790818038
Total Pages : 477 pages
Book Rating : 4.7/5 (98 download)

DOWNLOAD NOW!


Book Synopsis New Learning Paradigms in Soft Computing by : Lakhmi C. Jain

Download or read book New Learning Paradigms in Soft Computing written by Lakhmi C. Jain and published by Physica. This book was released on 2013-06-05 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory

Download Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540341706
Total Pages : 245 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!


Book Synopsis Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory by : Vassilis G. Kaburlasos

Download or read book Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory written by Vassilis G. Kaburlasos and published by Springer Science & Business Media. This book was released on 2007-02-07 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. The material is multi-disciplinary based on on-going research published in major scientific journals and conferences.

Computational Intelligence Based on Lattice Theory

Download Computational Intelligence Based on Lattice Theory PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 354072687X
Total Pages : 375 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!


Book Synopsis Computational Intelligence Based on Lattice Theory by : Vassilis G. Kaburlasos

Download or read book Computational Intelligence Based on Lattice Theory written by Vassilis G. Kaburlasos and published by Springer. This book was released on 2007-06-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eighteen-chapter book presents the latest applications of lattice theory in Computational Intelligence (CI). The book focuses on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The book comes out of a special session held during the World Council for Curriculum and Instruction World Conference (WCCI 2006). The articles presented here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.

Knowledge Discovery and Data Mining. Current Issues and New Applications

Download Knowledge Discovery and Data Mining. Current Issues and New Applications PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 354045571X
Total Pages : 476 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!


Book Synopsis Knowledge Discovery and Data Mining. Current Issues and New Applications by : Takao Terano

Download or read book Knowledge Discovery and Data Mining. Current Issues and New Applications written by Takao Terano and published by Springer Science & Business Media. This book was released on 2007-07-13 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000) was held at the Keihanna-Plaza, Kyoto, Japan, April 18 - 20, 2000. PAKDD 2000 provided an international forum for researchers and applica tion developers to share their original research results and practical development experiences. A wide range of current KDD topics were covered including ma chine learning, databases, statistics, knowledge acquisition, data visualization, knowledge-based systems, soft computing, and high performance computing. It followed the success of PAKDD 97 in Singapore, PAKDD 98 in Austraha, and PAKDD 99 in China by bringing together participants from universities, indus try, and government from all over the world to exchange problems and challenges and to disseminate the recently developed KDD techniques. This PAKDD 2000 proceedings volume addresses both current issues and novel approaches in regards to theory, methodology, and real world application. The technical sessions were organized according to subtopics such as Data Mining Theory, Feature Selection and Transformation, Clustering, Application of Data Mining, Association Rules, Induction, Text Mining, Web and Graph Mining. Of the 116 worldwide submissions, 33 regular papers and 16 short papers were accepted for presentation at the conference and included in this volume. Each submission was critically reviewed by two to four program committee members based on their relevance, originality, quality, and clarity.

Handbook of Neural Computation

Download Handbook of Neural Computation PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 0429525605
Total Pages : 1129 pages
Book Rating : 4.4/5 (295 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Neural Computation by : Emile Fiesler

Download or read book Handbook of Neural Computation written by Emile Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

Biologically Inspired Cognitive Architectures 2010

Download Biologically Inspired Cognitive Architectures 2010 PDF Online Free

Author :
Publisher : IOS Press
ISBN 13 : 1607506602
Total Pages : 264 pages
Book Rating : 4.6/5 (75 download)

DOWNLOAD NOW!


Book Synopsis Biologically Inspired Cognitive Architectures 2010 by : BICA Society. Annual Meeting

Download or read book Biologically Inspired Cognitive Architectures 2010 written by BICA Society. Annual Meeting and published by IOS Press. This book was released on 2010 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents the proceedings of the First International Conference on Biologically Inspired Cognitive Architectures (BICA 2010), which is also the First Annual Meeting of the BICA Society. A cognitive architecture is a computational framework for the design of intelligent, even conscious, agents. It may draw inspiration from many sources, such as pure mathematics, physics or abstract theories of cognition. A biologically inspired cognitive architecture (BICA) is one which incorporates formal mechanisms from computational models of human and animal cognition, which currently provide the only physical examples with the robustness, flexibility, scalability and consciousness that artificial intelligence aspires to achieve. The BICA approach has several different goals: the broad aim of creating intelligent software systems without focusing on any one area of application; attempting to accurately simulate human behavior or gain an understanding of how the human mind works, either for purely scientific reasons or for applications in a variety of domains; understanding how the brain works at a neuronal and sub-neuronal level; or designing artificial systems which can perform the cognitive tasks important to practical applications in human society, and which at present only humans are capable of. The papers presented in this volume reflect the cross-disciplinarity and integrative nature of the BICA approach and will be of interest to anyone developing their own approach to cognitive architectures. Many insights can be found here for inspiration or to import into one's own architecture, directly or in modified form."--Publisher description.

Dissertation Abstracts International

Download Dissertation Abstracts International PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 780 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!


Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2006 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantum Neural Computation

Download Quantum Neural Computation PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9048133505
Total Pages : 938 pages
Book Rating : 4.0/5 (481 download)

DOWNLOAD NOW!


Book Synopsis Quantum Neural Computation by : Vladimir G. Ivancevic

Download or read book Quantum Neural Computation written by Vladimir G. Ivancevic and published by Springer Science & Business Media. This book was released on 2010-01-18 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum Neural Computation is a graduate–level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation, the science behind the fiction movie Stealth. Classical computing systems perform classical computations (i.e., Boolean operations, such as AND, OR, NOT gates) using devices that can be described classically (e.g., MOSFETs). On the other hand, quantum computing systems perform classical computations using quantum devices (quantum dots), that is devices that can be described only using quantum mechanics. Any information transfer between such computing systems involves a state measurement. This book describes this information transfer at the edge of classical and quantum chaos and turbulence, where mysterious quantum-mechanical linearity meets even more mysterious brain’s nonlinear complexity, in order to perform a super–high–speed and error–free computations. This monograph describes a crossroad between quantum field theory, brain science and computational intelligence.

Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques

Download Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 : 1605667676
Total Pages : 734 pages
Book Rating : 4.6/5 (56 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques by : Olivas, Emilio Soria

Download or read book Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques written by Olivas, Emilio Soria and published by IGI Global. This book was released on 2009-08-31 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Conscious Mind, Resonant Brain

Download Conscious Mind, Resonant Brain PDF Online Free

Author :
Publisher : Oxford University Press
ISBN 13 : 0190070552
Total Pages : 771 pages
Book Rating : 4.1/5 (9 download)

DOWNLOAD NOW!


Book Synopsis Conscious Mind, Resonant Brain by : Stephen Grossberg

Download or read book Conscious Mind, Resonant Brain written by Stephen Grossberg and published by Oxford University Press. This book was released on 2021 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities.

Introduction to Machine Learning

Download Introduction to Machine Learning PDF Online Free

Author :
Publisher : MIT Press
ISBN 13 : 0262028182
Total Pages : 639 pages
Book Rating : 4.2/5 (62 download)

DOWNLOAD NOW!


Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

Computational Intelligence

Download Computational Intelligence PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 9780471274544
Total Pages : 306 pages
Book Rating : 4.2/5 (745 download)

DOWNLOAD NOW!


Book Synopsis Computational Intelligence by : David B. Fogel

Download or read book Computational Intelligence written by David B. Fogel and published by John Wiley & Sons. This book was released on 2003-06-16 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive survey of computational intelligence from luminaries in the field Computational intelligence is a fast-moving, multidisciplinary field - the nexus of diverse technical interest areas that include neural networks, fuzzy logic, and evolutionary computation. Keeping up with computational intelligence means understanding how it relates to an ever-expanding range of applications. This is the book that ties it all together - and puts that understanding well within your reach. In Computational Intelligence: The Experts Speak, editors David B. Fogel and Charles J. Robinson present an unmatched compilation of expanded papers from plenary and special lecturers attending the 2002 IEEE World Congress on Computational Intelligence. Collectively, these papers provide a compelling snapshot of the issues that define the industry, as observed by some of the top minds in the computational intelligence community. In a series of topical chapters, this comprehensive volume shows how current technology is shaping computational intelligence, and it delivers eye-opening insights into the field's future challenges. The research detailed here covers an array of leading-edge applications, from coevolutionary robotics to underwater sensors and cognitive science, in such areas as: Self-organizing systems Situation awareness Human-machine interaction Automatic control Data recognition Computational Intelligence also includes introductions to each grouping of contributions that provide helpful tutorials and discuss important parallels between topics. Whatever your role might be in this dynamic, influential field, this is the one reference that no practitioner of computational intelligence should be without.

Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling

Download Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540474633
Total Pages : 738 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!


Book Synopsis Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling by : Vladimir G. Ivancevic

Download or read book Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling written by Vladimir G. Ivancevic and published by Springer Science & Business Media. This book was released on 2007-02-14 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro–Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling" is a graduate–level monographic textbook. It represents a comprehensive introduction into both conceptual and rigorous brain and cognition modelling. It is devoted to understanding, prediction and control of the fundamental mechanisms of brain functioning. The reader will be provided with a scientific tool enabling him to perform a competitive research in brain and cognition modelling.

The Handbook of Brain Theory and Neural Networks

Download The Handbook of Brain Theory and Neural Networks PDF Online Free

Author :
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.2/5 (62 download)

DOWNLOAD NOW!


Book Synopsis The Handbook of Brain Theory and Neural Networks by : Michael A. Arbib

Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions with a Dynamic Environment

Download The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions with a Dynamic Environment PDF Online Free

Author :
Publisher : Frontiers Media SA
ISBN 13 : 288963910X
Total Pages : 216 pages
Book Rating : 4.8/5 (896 download)

DOWNLOAD NOW!


Book Synopsis The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions with a Dynamic Environment by : Mario Senden

Download or read book The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions with a Dynamic Environment written by Mario Senden and published by Frontiers Media SA. This book was released on 2020-07-31 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: