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Rethinking Neural Networks
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Book Synopsis Rethinking Neural Networks by : Karl H. Pribram
Download or read book Rethinking Neural Networks written by Karl H. Pribram and published by Psychology Press. This book was released on 2014-04-08 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That is, what are the neural antecedents that determine which course of action is to be pursued? Half of the contributions deal with modelling synapto-dendritic and neural ultrastructural processes; the remainder, with laboratory research findings, often cast in terms of the models. The interchanges at the conference and the ensuing publication also provide a foundation for further meetings. These will address how processes in different brain systems, coactive with the neural residues of experience and with sensory input, determine decisions.
Book Synopsis Rethinking Innateness by : Jeffrey L. Elman
Download or read book Rethinking Innateness written by Jeffrey L. Elman and published by MIT Press. This book was released on 1996 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rethinking Innateness asks the question, "What does it really mean to say that a behavior is innate?" The authors describe a new framework in which interactions, occurring at all levels, give rise to emergent forms and behaviors. These outcomes often may be highly constrained and universal, yet are not themselves directly contained in the genes in any domain-specific way. One of the key contributions of Rethinking Innateness is a taxonomy of ways in which a behavior can be innate. These include constraints at the level of representation, architecture, and timing; typically, behaviors arise through the interaction of constraints at several of these levels.The ideas are explored through dynamic models inspired by a new kind of "developmental connectionism," a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for the study of behavioral development. While relying heavily on the conceptual and computational tools provided by connectionism, Rethinking Innateness also identifies ways in which these tools need to be enriched by closer attention to biology.
Book Synopsis Exercises in Rethinking Innateness by : Kim Plunkett
Download or read book Exercises in Rethinking Innateness written by Kim Plunkett and published by MIT Press. This book was released on 1997-04-15 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the companion volume to Rethinking Innateness: A Connectionist Perspective on Development (The MIT Press, 1996), which proposed a new theoretical framework to answer the question "What does it mean to say that a behavior is innate?" The new work provides concrete illustrations—in the form of computer simulations—of properties of connectionist models that are particularly relevant to cognitive development. This enables the reader to pursue in depth some of the practical and empirical issues raised in the first book. The authors' larger goal is to demonstrate the usefulness of neural network modeling as a research methodology. The book comes with a complete software package, including demonstration projects, for running neural network simulations on both Macintosh and Windows 95. It also contains a series of exercises in the use of the neural network simulator provided with the book. The software is also available to run on a variety of UNIX platforms.
Book Synopsis Rethinking Neural Networks by : Karl H. Pribram
Download or read book Rethinking Neural Networks written by Karl H. Pribram and published by Psychology Press. This book was released on 2014-04-08 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That is, what are the neural antecedents that determine which course of action is to be pursued? Half of the contributions deal with modelling synapto-dendritic and neural ultrastructural processes; the remainder, with laboratory research findings, often cast in terms of the models. The interchanges at the conference and the ensuing publication also provide a foundation for further meetings. These will address how processes in different brain systems, coactive with the neural residues of experience and with sensory input, determine decisions.
Book Synopsis Rethinking Valuation and Pricing Models by : Carsten Wehn
Download or read book Rethinking Valuation and Pricing Models written by Carsten Wehn and published by Academic Press. This book was released on 2012-11-08 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is widely acknowledged that many financial modelling techniques failed during the financial crisis, and in our post-crisis environment many techniques are being reconsidered. This single volume provides a guide to lessons learned for practitioners and a reference for academics. Including reviews of traditional approaches, real examples, and case studies, contributors consider portfolio theory; methods for valuing equities and equity derivatives, interest rate derivatives, and hybrid products; and techniques for calculating risks and implementing investment strategies. Describing new approaches without losing sight of their classical antecedents, this collection of original articles presents a timely perspective on our post-crisis paradigm. Highlights pre-crisis best classical practices, identifies post-crisis key issues, and examines emerging approaches to solving those issues Singles out key factors one must consider when valuing or calculating risks in the post-crisis environment Presents material in a homogenous, practical, clear, and not overly technical manner
Book Synopsis Neural Information Processing by : Teddy Mantoro
Download or read book Neural Information Processing written by Teddy Mantoro and published by Springer Nature. This book was released on 2021-12-04 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.
Book Synopsis Rethinking Consciousness: A Scientific Theory of Subjective Experience by : Michael S A Graziano
Download or read book Rethinking Consciousness: A Scientific Theory of Subjective Experience written by Michael S A Graziano and published by W. W. Norton & Company. This book was released on 2019-09-17 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: “A first-class intellectual adventure.” —Brian Greene, author of Until the End of Time Illuminating his groundbreaking theory of consciousness, known as the attention schema theory, Michael S. A. Graziano traces the evolution of the mind over millions of years, with examples from the natural world, to show how neurons first allowed animals to develop simple forms of attention and then to construct awareness of the external world and of the self. His theory has fascinating implications for the future: it may point the way to engineers for building consciousness artificially, and even someday taking the natural consciousness of a person and uploading it into a machine for a digital afterlife.
Book Synopsis Mastering Machine Learning Algorithms by : Giuseppe Bonaccorso
Download or read book Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2018-05-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
Book Synopsis The Architecture of Cognition by : Paco Calvo
Download or read book The Architecture of Cognition written by Paco Calvo and published by MIT Press. This book was released on 2014-04-18 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1988, Jerry Fodor and Zenon Pylyshyn challenged connectionist theorists to explain the systematicity of cognition. In a highly influential critical analysis of connectionism, they argued that connectionist explanations, at best, can only inform us about details of the neural substrate; explanations at the cognitive level must be classical insofar as adult human cognition is essentially systematic. This volume reassesses Fodor and Pylyshyn's 'systematicity challenge' for a post-connectionist era, covering the most important recent developments in the systematicity debate.
Book Synopsis Rethinking Pedagogy for a Digital Age by : Helen Beetham
Download or read book Rethinking Pedagogy for a Digital Age written by Helen Beetham and published by Routledge. This book was released on 2019-06-21 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rethinking Pedagogy for a Digital Age examines contemporary issues in the design and delivery of effective learning through a critical discussion of the theoretical and professional perspectives informing current digital education practice. This third edition has been thoroughly revised to address socio-cultural approaches, learning analytics, curriculum change, and key theoretical developments from education sciences. Illustrated by case studies across disciplines and continents for a diversity of researchers, practitioners, and lecturers, the book is an essential guide to learning technologies that is pedagogically sound, learner-focused, and accessible.
Download or read book Federated Learning written by Qiang Yang and published by Springer Nature. This book was released on 2020-11-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Book Synopsis Rethinking Prototyping by : Christoph Gengnagel
Download or read book Rethinking Prototyping written by Christoph Gengnagel and published by epubli. This book was released on 2013-10-02 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design modelling has benefited from computation but in most projects to date there is still a strong division between computational design and simulation leading up to construction and the completed building that is cut off from the computational design modelling. The Design Modelling Symposium Berlin 2013 would like to challenge the participants to reflect on the possibility of computational systems that bridge design phase and occupancy of buildings. This rethinking of the designed artifact beyond its physical has had profound effects on other industries already. How does it affect architecture and engineering? At the scale of engineering and building systems new perspectives may open up by engaging built form as a continuous prototype, which can track and respond during use and serve as a real world implementation of its design model. This has been tried many times from intelligent façades to smart homes and networked grids but much of it was only technology driven and not approached from a more holistic design perspective.
Download or read book Text Mining with R written by Julia Silge and published by "O'Reilly Media, Inc.". This book was released on 2017-06-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
Book Synopsis Artists Re:thinking the Blockchain by : Ruth Catlow
Download or read book Artists Re:thinking the Blockchain written by Ruth Catlow and published by Liverpool University Press. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artists Re:Thinking the Blockchain is the first book of its kind, intersecting artistic, speculative, conceptual and technical engagements with the the technology heralded as 2the new internet3. The book features a range of newly commissioned essays, fictions, illustration and art documentation exploring what the blockchain should and could mean for our collective futures. Imagined as a future-artefact of a time before the blockchain changed the world, and a protocol by which a community of thinkers can transform what that future might be, Artists Re:Thinking The Blockchain acts as a gathering and focusing of contemporary ideas surrounding this still largely mythical technology. The full colour printed first edition includes DOCUMENTATION of artistic projects engaged in the blockchain, including key works Plantoid, Terra0 and Bittercoin, THEORISATION of key areas in the global blockchain conversation by writers such as Hito Steyerl, Rachel O'Dwyer, Rob Myers, Ben Vickers and Holly Herndon, and NEW POETRY, ILLUSTRATION and SPECULATIVE FICTION by Theodorios Chiotis, Cecilia Wee, Juhee Hahm and many more. It is edited by Ruth Catlow, Marc Garrett, Nathan Jones and Sam Skinner. Along with a print edition, Artists Re:Thinking the Blockchain includes a web-based project in partnership with Design Informatics at University of Edinburgh: Finbook is an interface where readers and bots can trade on the value of chapters included in the book. As such it imagines a new regime for cultural value under blockchain conditions. This book and surrounding events is produced in collaboration between Torque and Furtherfield, connecting Furtherfield's Art Data Money project with Torque's experimental publishing programme. It is supported by an Arts Council England Grants for the Arts, Foundation for Art and Creative Technology and through the State Machines project by the Creative Europe Programme of the European Union.
Book Synopsis Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications by : Joshua Alspector
Download or read book Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications written by Joshua Alspector and published by Psychology Press. This book was released on 2013-06-17 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is witnessing the rapid evolution of its own nervous system by an unparalleled growth in communication technology. Like the evolution of the nervous systems in animals, this growth is being driven by a survival-of-the-fittest-mechanism. In telecommunications, the entities that fuel this growth are companies and nations who compete with each other. Companies with superior information systems can outrun and outsmart others because they serve their customers better. On the threshold of an explosion in the variety, speed and usefulness of telecommunication networks, neural network researchers can make important contributions to this emerging new telecommunications infrastructure. The first International Workshop on Applications of Neural Networks to Telecommunications (IWANNT) was planned in response to the telecommunications industry's needs for new adaptive technologies. This workshop featured 50 talks and posters that were selected by an organizing committee of experts in both telecommunications and neural networks. These proceedings will also be available on-line in an electronic format providing multimedia figures, cross-referencing, and annotation.
Book Synopsis Understanding Representation in the Cognitive Sciences by : Alexander Riegler
Download or read book Understanding Representation in the Cognitive Sciences written by Alexander Riegler and published by Springer. This book was released on 2007-08-26 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: urrently a paradigm shift is occurring in for the conventional understanding of represen- which the traditional view of the brain as tions. The paper also summarizes the rationale for C representing the "things of the world" is the selection of contributions to this volume, which challenged in several respects. The present volume will roughly proceed from relatively "realist" c- is placed at the edge of this transition. Based on the ceptions of representation to more "constructivist" 1997 conference "New Trends in Cognitive Sci- interpretations. The final chapter of discussions, ence" in Vienna, Austria, it tries to collect and in- taped during and at the end of the conference, p- grate evidence from various disciplines such as p- vides the reader with the possibility to reflect upon losophy of science, neuroscience, computational the different approaches and thus contributes to b- approaches, psychology, semiotics, evolutionary ter and more integrative understanding of their biology, social psychology etc. , to foster a new thoughts and ideas. understanding of representation. The subjective experience of an outside world This book has a truly interdisciplinary character. It seems to suggest a mapping process where environ- is presented in a form that is readily accessible to mental entities are projected into our mind via some professionals and students alike across the cognitive kind of transmission. While a profound critique of sciences such as neuroscience, computer science, this idea is nearly as old as philosophy, it has gained philosophy, psychology, and sociology.
Book Synopsis Designed to Learn by : Lindsay Portnoy
Download or read book Designed to Learn written by Lindsay Portnoy and published by ASCD. This book was released on 2019-11-19 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students become attentive, curious, and passionate about learning when they can see its relevance to their lives and when they're empowered to use that learning to solve problems that matter. Regardless of the subject or grade level you teach, you can infuse your instruction with the meaning students crave by implementing design thinking. Design thinking prompts students to consider: "I've learned it. Now what am I going to do with it?" In Designed to Learn, cognitive scientist and educator Lindsay Portnoy shares the amazing teaching and learning that take place in design thinking classrooms. To set the stage, she provides easy-to-implement strategies, classroom examples, and clear tools to scaffold the processes of inquiry, discovery, design, and reflection. Because formative assessment is crucial to the process, Portnoy includes sample assessments that measure student learning and ensure that learners take the lead in their own learning. As the author guides you through the five elements of design thinking (understand and empathize, identify and research, communicate to ideate, prototype and test, and iterate and reflect), you'll learn how to support students as they - Use the content you teach to solve a problem in their community or in the world around them. - Isolate a concern for their designed solution to address. - Communicate ideas and provide valid reasoning for potential solutions. - Prototype a solution and test it. - Revise their design for maximum impact and reflect on the process. Equipped with the strategies and supports in Designed to Learn, teachers will be able to ensure that learning in their classrooms is visible, student-centered, and measurable—by design.
