Autonomous Learning Systems
DOWNLOAD
Download Autonomous Learning Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Autonomous Learning Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Autonomous Learning From The Environment
DOWNLOAD
Author : Wei-Min Shen
language : en
Publisher: Computer Science Press, Incorporated
Release Date : 1994
Autonomous Learning From The Environment written by Wei-Min Shen and has been published by Computer Science Press, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Artificial intelligence categories.
A significant contribution to the scientific foundation of autonomous learning systems, this book contains clear, up-to-date coverage of three basic subtasks: active model abstraction, model application, and integration. It is the only textbook to offer a thorough discussion of active model abstraction.
Autonomous Learning Systems
DOWNLOAD
Author : Plamen Angelov
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-06
Autonomous Learning Systems written by Plamen Angelov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-06 with Science categories.
Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.
Autonomous Learning In The Workplace
DOWNLOAD
Author : Jill E. Ellingson
language : en
Publisher: Taylor & Francis
Release Date : 2017-03-27
Autonomous Learning In The Workplace written by Jill E. Ellingson and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-27 with Psychology categories.
Traditionally, organizations and researchers have focused on learning that occurs through formal training and development programs. However, the realities of today’s workplace suggest that it is difficult, if not impossible, for organizations to rely mainly on formal programs for developing human capital. This volume offers a broad-based treatment of autonomous learning to advance our understanding of learner-driven approaches and how organizations can support them. Contributors in industrial/organizational psychology, management, education, and entrepreneurship bring theoretical perspectives to help us understand autonomous learning and its consequences for individuals and organizations. Chapters consider informal learning, self-directed learning, learning from job challenges, mentoring, Massive Open Online Courses (MOOCs), organizational communities of practice, self-regulation, the role of feedback and errors, and how to capture value from autonomous learning. This book will appeal to scholars, researchers, and practitioners in psychology, management, training and development, and educational psychology.
Autonomous Learning Systems
DOWNLOAD
Author : Plamen P. Angelov
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-01
Autonomous Learning Systems written by Plamen P. Angelov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-01 with Electronic books categories.
Building Autonomous Learners
DOWNLOAD
Author : Woon Chia Liu
language : en
Publisher: Springer
Release Date : 2015-09-29
Building Autonomous Learners written by Woon Chia Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-29 with Education categories.
This edited work presents a collection of papers on motivation research in education around the globe. Pursuing a uniquely international approach, it also features selected research studies conducted in Singapore under the auspices of the Motivation in Educational Research Lab, National Institute of Education, Singapore. A total of 15 chapters include some of the latest findings on theory and practical applications alike, prepared by internationally respected researchers in the field of motivation research in education. Each author provides his/her perspective and practical strategies on how to maximize motivation in the classroom. Individual chapters focus on theoretical and practical considerations, parental involvement, teachers’ motivation, ways to create a self-motivating classroom, use of ICT, and nurturing a passion for learning. The book will appeal to several different audiences: firstly, policymakers in education, school leaders and teachers will find it a valuable resource. Secondly, it offers a helpful guide for researchers and teacher educators in pre-service and postgraduate teacher education programmes. And thirdly, parents who want to help their children pursue lifelong learning will benefit from reading this book.
Taking Control
DOWNLOAD
Author : Richard Pemberton
language : en
Publisher: Hong Kong University Press
Release Date : 1996-06-01
Taking Control written by Richard Pemberton and has been published by Hong Kong University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-01 with Education categories.
TAKING CONTROL: Autonomy in Language Learning focuses on an area of language learning and teaching that is currently receiving an increasing amount of attention. The book, featuring 18 chapters from key figures around the world in the field of autonomous and self-access language learning, provides insightful coverage of the theoretical issues involved, and represents a significant contribution to research in this area. At the same time, it provides a variety of examples of current practice, in classrooms and self-access centres, at secondary and tertiary levels, and in a number of different cultural contexts. This volume is a timely publication which will be of interest to all those concerned with learner autonomy and self-directed language learning.
Learner And Teacher Autonomy
DOWNLOAD
Author : Terry Lamb
language : en
Publisher: John Benjamins Publishing
Release Date : 2008
Learner And Teacher Autonomy written by Terry Lamb and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Language Arts & Disciplines categories.
This edited volume offers a cohesive account of recent developments across the world in the field of learner and teacher autonomy in languages education. Drawing on the work of eminent researchers of language learning and teaching, it explores at both conceptual and practical levels issues related to current pedagogical developments in a wide range of contexts. Global shifts have led to an increase in autonomous and independent learning both in policy and practice (including self-access and distance learning). The book s scope and focus will therefore be beneficial to language teachers as well as to students and researchers in applied linguistics and those involved in pre- and in-service teacher education. The book concludes with an overview of the state of research in this field, focusing on the (inter)relationships between the concepts of learner and teacher autonomy.
Learning For Adaptive And Reactive Robot Control
DOWNLOAD
Author : Aude Billard
language : en
Publisher: MIT Press
Release Date : 2022-02-08
Learning For Adaptive And Reactive Robot Control written by Aude Billard and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-08 with Technology & Engineering categories.
Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
Deep Learning For Unmanned Systems
DOWNLOAD
Author : Anis Koubaa
language : en
Publisher: Springer Nature
Release Date : 2021-10-01
Deep Learning For Unmanned Systems written by Anis Koubaa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Technology & Engineering categories.
This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets. In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS) The book chapters present various techniques of deep learning for robotic applications. The book chapters contain a good literature survey with a long list of references. The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques. The book chapters are lucidly illustrated with numerical examples and simulations. The book chapters discuss details of applications and future research areas.
The Organization Of An Autonomous Learning System
DOWNLOAD
Author : Research Institute for Advanced Computer Science (U.S.)
language : en
Publisher:
Release Date : 1988
The Organization Of An Autonomous Learning System written by Research Institute for Advanced Computer Science (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with categories.