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A Study Of Scaling And Generalization In Neural Networks
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Book Synopsis A Study of Scaling and Generalization in Neural Networks by : Subutai Ahmad
Download or read book A Study of Scaling and Generalization in Neural Networks written by Subutai Ahmad and published by . This book was released on 1988 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Connectionist Psychology by : Rob Ellis
Download or read book Connectionist Psychology written by Rob Ellis and published by Psychology Press. This book was released on 2020-02-25 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction and review of connectionist models applied to psychological topics. Chapters include basic reviews of connectionist models, their properties and their attributes. The application of these models to the domains of perception, memory, attention, word processing, higher language processing, and cognitive neuropsychology is then reviewed.
Download or read book Neural Networks written by E. Gelenbe and published by Elsevier. This book was released on 2014-06-28 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present volume is a natural follow-up to Neural Networks: Advances and Applications which appeared one year previously. As the title indicates, it combines the presentation of recent methodological results concerning computational models and results inspired by neural networks, and of well-documented applications which illustrate the use of such models in the solution of difficult problems. The volume is balanced with respect to these two orientations: it contains six papers concerning methodological developments and five papers concerning applications and examples illustrating the theoretical developments. Each paper is largely self-contained and includes a complete bibliography. The methodological part of the book contains two papers on learning, one paper which presents a computational model of intracortical inhibitory effects, a paper presenting a new development of the random neural network, and two papers on associative memory models. The applications and examples portion contains papers on image compression, associative recall of simple typed images, learning applied to typed images, stereo disparity detection, and combinatorial optimisation.
Book Synopsis Cognitive Modeling by : Thad A. Polk
Download or read book Cognitive Modeling written by Thad A. Polk and published by MIT Press. This book was released on 2002 with total page 1300 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the computational modeling of human cognition.
Book Synopsis Machine Learning Proceedings 1989 by : Alberto Maria Segre
Download or read book Machine Learning Proceedings 1989 written by Alberto Maria Segre and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1989
Book Synopsis Applications of Learning & Planning Methods by : Nikolaos G. Bourbakis
Download or read book Applications of Learning & Planning Methods written by Nikolaos G. Bourbakis and published by World Scientific. This book was released on 1991 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning and planning are two important topics of artificial intelligence. Learning deals with the algorithmic processes that make a computing machine able to ?learn? and improve its performance during the process of complex tasks. Planning on the other hand, deals with decision and construction processes that make a machine capable of constructing an intelligent plan for the solution of a particular complex problem.This book combines both learning and planning methodologies and their applications in different domains. It is divided into two parts. The first part contains seven chapters on the ongoing research work in symbolic and connectionist learning. The second part includes seven chapters which provide the current research efforts in planning methodologies and their application to robotics.
Book Synopsis Proceedings of the Winter, 1990, International Joint Conference on Neural Networks by : Maureen Caudill
Download or read book Proceedings of the Winter, 1990, International Joint Conference on Neural Networks written by Maureen Caudill and published by Taylor & Francis. This book was released on 2022-03-10 with total page 1588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set provides the complete proceedings of the 1990 International Joint Conference on Neural Networks held in Washington, D.C. Complete with subject, author, and title indices, it provides an invaluable reference to the current state-of-the-art in neural networks. Included in this volume are the latest research results, applications, and products from over 2,000 researchers and application developers from around the world. Ideal as a reference for researchers and practitioners of neuroscience, the two volumes are divided into eight sections: * Neural and Cognitive Sciences * Pattern Recognition and Analysis of Network Dynamics * Learning Theory * Plenary Lecture by Bernard Widrow * Special Lectures on Self-Organizing Neural Architectures * Application Systems and Network Implementations * Robotics, Speech, Signal Processing, and Vision * Expert Systems and Other Real-World Applications
Book Synopsis Proceedings of the 1988 Connectionist Models Summer School by : David S. Touretzky
Download or read book Proceedings of the 1988 Connectionist Models Summer School written by David S. Touretzky and published by . This book was released on 1989 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The student papers selected for this volume have been revised to incorporate feedback the students received from their peers during the program, and afterwards from their assigned editor (one of us). A few papers describe work that actually took place during the summer school, or immediately after it. The faculty papers are likewise timely and of very high quality. Readers wishing to monitor the neural network scene will find there is much to learn about the current state of the art.
Book Synopsis From Learning Theory to Connectionist Theory by : Alice F. Healy
Download or read book From Learning Theory to Connectionist Theory written by Alice F. Healy and published by Psychology Press. This book was released on 2013-04-15 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: These two volumes consist of chapters written by students and colleagues of W.K. Estes. The books' contributors -- themselves eminent figures in the field -- reflect on Estes' sweeping contributions to mathematical as well as cognitive and experimental psychology. As indicated by their titles, Volume I features mathematical and theoretical essays, and Volume II presents cognitive and experimental essays. Both volumes contain insightful literature reviews as well as descriptions of exciting new theoretical and empirical advances. Many of the essays also incorporate personal reminiscences reflecting the authors' fond affection for their illustrious mentor.
Book Synopsis Spectral Analysis of Large Dimensional Random Matrices by : Zhidong Bai
Download or read book Spectral Analysis of Large Dimensional Random Matrices written by Zhidong Bai and published by Springer Science & Business Media. This book was released on 2009-12-10 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to introduce basic concepts, main results, and widely applied mathematical tools in the spectral analysis of large dimensional random matrices. The core of the book focuses on results established under moment conditions on random variables using probabilistic methods, and is thus easily applicable to statistics and other areas of science. The book introduces fundamental results, most of them investigated by the authors, such as the semicircular law of Wigner matrices, the Marcenko-Pastur law, the limiting spectral distribution of the multivariate F matrix, limits of extreme eigenvalues, spectrum separation theorems, convergence rates of empirical distributions, central limit theorems of linear spectral statistics, and the partial solution of the famous circular law. While deriving the main results, the book simultaneously emphasizes the ideas and methodologies of the fundamental mathematical tools, among them being: truncation techniques, matrix identities, moment convergence theorems, and the Stieltjes transform. Its treatment is especially fitting to the needs of mathematics and statistics graduate students and beginning researchers, having a basic knowledge of matrix theory and an understanding of probability theory at the graduate level, who desire to learn the concepts and tools in solving problems in this area. It can also serve as a detailed handbook on results of large dimensional random matrices for practical users. This second edition includes two additional chapters, one on the authors' results on the limiting behavior of eigenvectors of sample covariance matrices, another on applications to wireless communications and finance. While attempting to bring this edition up-to-date on recent work, it also provides summaries of other areas which are typically considered part of the general field of random matrix theory.
Download or read book Neural Computation written by and published by . This book was released on 2003 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Readings in Machine Learning by : Jude W. Shavlik
Download or read book Readings in Machine Learning written by Jude W. Shavlik and published by Morgan Kaufmann. This book was released on 1990 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.
Book Synopsis Introduction to Neural Networks by : Jeannette Lawrence
Download or read book Introduction to Neural Networks written by Jeannette Lawrence and published by . This book was released on 1994 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Better Deep Learning by : Jason Brownlee
Download or read book Better Deep Learning written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-12-13 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning neural networks have become easy to define and fit, but are still hard to configure. Discover exactly how to improve the performance of deep learning neural network models on your predictive modeling projects. With clear explanations, standard Python libraries, and step-by-step tutorial lessons, you’ll discover how to better train your models, reduce overfitting, and make more accurate predictions.
Book Synopsis IJCNN International Joint Conference on Neural Networks by :
Download or read book IJCNN International Joint Conference on Neural Networks written by and published by . This book was released on 1991 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis NeuralSource by : Philip D. Wasserman
Download or read book NeuralSource written by Philip D. Wasserman and published by Van Nostrand Reinhold Company. This book was released on 1990 with total page 1032 pages. Available in PDF, EPUB and Kindle. Book excerpt: Derived from the database Neural Base (still available at $495.00), this bibliography, covering more than 4,000 references, is an important collection of research information. Extensive annotations have been added to approximately 75% of the entries in the print version. Periodicals, private reports, and books are included. Indexed by author, keyword, and publication. Neurons were slacking off when A mathematical theory... was indexed under "A". Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis The 1994 IEEE International Conference on Neural Networks by :
Download or read book The 1994 IEEE International Conference on Neural Networks written by and published by IEEE Computer Society Press. This book was released on 1994 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: