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.
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.
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.
Generalization Of Knowledge
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Author : Marie T. Banich
language : en
Publisher: Psychology Press
Release Date : 2011-01-07
Generalization Of Knowledge written by Marie T. Banich and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-07 with Education categories.
This volume takes a multidisciplinary perspective on generalization of knowledge from several fields associated with Cognitive Science, including Cognitive Neuroscience, Computer Science, Education, Linguistics, Developmental Science, and Speech, Language and Hearing Sciences. The aim is to derive general principles from triangulation across different disciplines and approaches.
Computational Learning Theory
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Author :
language : en
Publisher:
Release Date : 1995
Computational Learning Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial intelligence categories.
"This volume presents the proceedings of the Second European Conference on Computational Learning Theory (EuroCOLT '95), held in Barcelona, Spain in March 1995. The book contains full versions of the 28 papers accepted for presentation at the conference as well as three invited papers. All relevant topics in fundamental studies of computational aspects of artificial and natural learning systems and machine learning are covered; in particular artificial and biological neural networks, genetic and evolutionary algorithms, robotics, pattern recognition, inductive logic programming, decision theory, Bayesian/MDL estimation, statistical physics, and cryptography are addressed."--PUBLISHER'S WEBSITE
Inductive Logic Programming
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Author : Tamas Horváth
language : en
Publisher: Springer
Release Date : 2003-10-24
Inductive Logic Programming written by Tamas Horváth and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-24 with Computers categories.
This book constitutes the refereed proceedings of the 13th International Conference on Inductive Logic Programming, ILP 2003, held in Szeged, Hungary in September/October 2003. The 23 revised full papers presented were carefully reviewed and selected from 53 submissions. Among the topics addressed are multirelational data mining, complexity issues, theory revision, clustering, mathematical discovery, relational reinforcement learning, multirelational learning, inductive inference, description logics, grammar systems, and inductive learning.
Understanding Machine Learning
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Author : Shai Shalev-Shwartz
language : en
Publisher: Cambridge University Press
Release Date : 2014-05-19
Understanding Machine Learning written by Shai Shalev-Shwartz and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-19 with Computers categories.
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
The Transfer Of Learning
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Author : Sarah Leberman
language : en
Publisher: Gower Publishing, Ltd.
Release Date : 2006
The Transfer Of Learning written by Sarah Leberman and has been published by Gower Publishing, Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
This book addresses a crucial issue for all involved in education and training: the transfer of learning to new and different contexts. Educators, employers and learners face the problem of ensuring that what is learnt in the classroom is able to be adapted and used in the workplace. The authors provide an accessible book on the transfer of learning which draws on multi-disciplinary perspectives from education, psychology and management. It combines theory and practice from international research and the authors' own case studies of transfer involving learners engaged in professional development and study towards qualifications. The book is unique in that it adopts a phenomenological perspective and underscores the significance of the participants' voices in understanding issues.
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Author :
language : en
Publisher: Arihant Publications India limited
Release Date :
written by and has been published by Arihant Publications India limited this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Design Patterns And Best Practices In Java
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Author : Kamalmeet Singh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-27
Design Patterns And Best Practices In Java written by Kamalmeet Singh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-27 with Computers categories.
Create various design patterns to master the art of solving problems using Java Key Features This book demonstrates the shift from OOP to functional programming and covers reactive and functional patterns in a clear and step-by-step manner All the design patterns come with a practical use case as part of the explanation, which will improve your productivity Tackle all kinds of performance-related issues and streamline your development Book Description Having a knowledge of design patterns enables you, as a developer, to improve your code base, promote code reuse, and make the architecture more robust. As languages evolve, new features take time to fully understand before they are adopted en masse. The mission of this book is to ease the adoption of the latest trends and provide good practices for programmers. We focus on showing you the practical aspects of smarter coding in Java. We'll start off by going over object-oriented (OOP) and functional programming (FP) paradigms, moving on to describe the most frequently used design patterns in their classical format and explain how Java’s functional programming features are changing them. You will learn to enhance implementations by mixing OOP and FP, and finally get to know about the reactive programming model, where FP and OOP are used in conjunction with a view to writing better code. Gradually, the book will show you the latest trends in architecture, moving from MVC to microservices and serverless architecture. We will finish off by highlighting the new Java features and best practices. By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size. What you will learn Understand the OOP and FP paradigms Explore the traditional Java design patterns Get to know the new functional features of Java See how design patterns are changed and affected by the new features Discover what reactive programming is and why is it the natural augmentation of FP Work with reactive design patterns and find the best ways to solve common problems using them See the latest trends in architecture and the shift from MVC to serverless applications Use best practices when working with the new features Who this book is for This book is for those who are familiar with Java development and want to be in the driver’s seat when it comes to modern development techniques. Basic OOP Java programming experience and elementary familiarity with Java is expected.