Learning And Generalisation
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Learning And Generalisation
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Author : Mathukumalli Vidyasagar
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-09-27
Learning And Generalisation written by Mathukumalli Vidyasagar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-27 with Technology & Engineering categories.
How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.
Learning And Generalisation
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Author : Mathukumalli Vidyasagar
language : en
Publisher:
Release Date : 2014-01-15
Learning And Generalisation written by Mathukumalli Vidyasagar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
A Theory Of Learning And Generalization
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Author : Mathukumalli Vidyasagar
language : en
Publisher: Springer
Release Date : 1997
A Theory Of Learning And Generalization written by Mathukumalli Vidyasagar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
A Theory of Learning and Generalization provides a formal mathematical theory for addressing intuitive questions of the type: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the output of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? How can one "identify" the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time? This is the first book to treat the problem of machine learning in conjunction with the theory of empirical processes, the latter being a well-established branch of probability theory. The treatment of both topics side by side leads to new insights, as well as new results in both topics. An extensive references section and open problems will help readers to develop their own work in the field.
From Statistical Physics To Statistical Inference And Back
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Author : P. Grassberger
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
From Statistical Physics To Statistical Inference And Back written by P. Grassberger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the `best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work.
Soft Computing For Knowledge Discovery
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Author : James G. Shanahan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Soft Computing For Knowledge Discovery written by James G. Shanahan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. naïve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions. The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems. The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information. Soft Computing for Knowledge Discovery is for advanced undergraduates,professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.
Handbook Of Reliability Availability Maintainability And Safety In Engineering Design
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Author : Rudolph Frederick Stapelberg
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-02-17
Handbook Of Reliability Availability Maintainability And Safety In Engineering Design written by Rudolph Frederick Stapelberg and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-17 with Science categories.
The “Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design” studies the combination of various methods of designing for reliability, availability, maintainability and safety, as well as the latest techniques in probability and possibility modeling, mathematical algorithmic modeling, evolutionary algorithmic modeling, symbolic logic modeling, artificial intelligence modeling, and object-oriented computer modeling. The book encompasses both a depth of research into engineering design methods and techniques, and a breadth of research into the concept of integrity in engineering design. These topics add significant value to the theoretical expertise and practical experience of process, chemical, civil, mechanical, electrical, and electronic engineers, by considering process engineering design from the point of view of “what should be achieved” to meet criteria for designing for reliability, availability, maintainability and safety.
Organisational Behaviour
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Author : S S Khanka
language : en
Publisher: S. Chand Publishing
Release Date : 2000
Organisational Behaviour written by S S Khanka and has been published by S. Chand Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
For the students of MBA, PGDBM, M.Com. And other Management Courses. Contains a variety of real-life examples. Glossary given at the end of the book enables students to have knowledge and be familiar with the important key terms used.
Learning And Generalisation In Neural Networks With Local Preprocessing
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Author : Merab Kutsia
language : en
Publisher:
Release Date : 2007
Learning And Generalisation In Neural Networks With Local Preprocessing written by Merab Kutsia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Modelling High Level Cognitive Processes
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Author : Richard P. Cooper With Contributi
language : en
Publisher: Psychology Press
Release Date : 2013-05-13
Modelling High Level Cognitive Processes written by Richard P. Cooper With Contributi and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-13 with Psychology categories.
This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text. The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects. All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.
9th International Conference On Automated Deduction
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Author : Ewing Lusk
language : en
Publisher: Springer Science & Business Media
Release Date : 1988-05-04
9th International Conference On Automated Deduction written by Ewing Lusk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-05-04 with Computers categories.
This volume contains the papers presented at the Ninth International Conference on Automated Deduction (CADE-9) held May 23-26 at Argonne National Laboratory, Argonne, Illinois. The conference commemorates the twenty-fifth anniversary of the discovery of the resolution principle, which took place during the summer of 1963. The CADE conferences are a forum for reporting on research on all aspects of automated deduction, including theorem proving, logic programming, unification, deductive databases, term rewriting, ATP for non-standard logics, and program verification. All papers submitted to the conference were refereed by at least two referees, and the program committee accepted the 52 that appear here. Also included in this volume are abstracts of 21 implementations of automated deduction systems.