Reinforcement And Systemic Machine Learning For Decision Making PDF Books

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Reinforcement And Systemic Machine Learning For Decision Making

Reinforcement And Systemic Machine Learning For Decision Making
Author: Parag Kulkarni
Publisher: John Wiley & Sons
ISBN: 1118271556
Size: 80.88 MB
Format: PDF, ePub, Mobi
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Reinforcement and Systemic Machine Learning for DecisionMaking There are always difficulties in making machines that learn fromexperience. Complete information is not always available—orit becomes available in bits and pieces over a period of time. Withrespect to systemic learning, there is a need to understand theimpact of decisions and actions on a system over that period oftime. This book takes a holistic approach to addressing that needand presents a new paradigm—creating new learningapplications and, ultimately, more intelligent machines. The first book of its kind in this new and growing field,Reinforcement and Systemic Machine Learning for Decision Makingfocuses on the specialized research area of machine learning andsystemic machine learning. It addresses reinforcement learning andits applications, incremental machine learning, repetitivefailure-correction mechanisms, and multiperspective decisionmaking. Chapters include: Introduction to Reinforcement and Systemic MachineLearning Fundamentals of Whole-System, Systemic, and MultiperspectiveMachine Learning Systemic Machine Learning and Model Inference and Information Integration Adaptive Learning Incremental Learning and Knowledge Representation Knowledge Augmentation: A Machine Learning Perspective Building a Learning System With the potential of this paradigmto become one of the more utilized in its field, professionals inthe area of machine and systemic learning will find this book to bea valuable resource.
Reinforcement and Systemic Machine Learning for Decision Making
Language: en
Pages: 312
Authors: Parag Kulkarni
Categories: Technology & Engineering
Type: BOOK - Published: 2012-07-11 - Publisher: John Wiley & Sons
Reinforcement and Systemic Machine Learning for DecisionMaking There are always difficulties in making machines that learn fromexperience. Complete information is not always available—orit becomes available in bits and pieces over a period of time. Withrespect to systemic learning, there is a need to understand theimpact of decisions and actions on
Reinforcement and Systemic Machine Learning for Decision Making
Language: en
Pages: 285
Authors: Parag Kulkarni
Categories: Technology & Engineering
Type: BOOK - Published: 2012-08-14 - Publisher: John Wiley & Sons
Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the area of computational intelligence. This book focuses on reinforcement and systemic learning to build a new learning paradigm, which makes effective use of these learning methodologies to increase machine intelligence
Machine Learning in Radiation Oncology
Language: en
Pages: 336
Authors: Issam El Naqa, Ruijiang Li, Martin J. Murphy
Categories: Medical
Type: BOOK - Published: 2015-06-19 - Publisher: Springer
​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential
Transactions on Engineering Technologies
Language: en
Pages: 796
Authors: Haeng Kon Kim, Sio-Iong Ao, Mahyar A. Amouzegar
Categories: Technology & Engineering
Type: BOOK - Published: 2014-07-02 - Publisher: Springer
This volume contains fifty-six revised and extended research articles, written by prominent researchers participating in the congress. Topics covered include electrical engineering, chemical engineering, circuits, computer science, communications systems, engineering mathematics, systems engineering, manufacture engineering and industrial applications. This book offers theoretical advances in engineering technologies and presents state of
Product Lifecycle Management for Digital Transformation of Industries
Language: en
Pages: 655
Authors: Ramy Harik, Louis Rivest, Alain Bernard, Benoit Eynard, Abdelaziz Bouras
Categories: Business & Economics
Type: BOOK - Published: 2017-03-15 - Publisher: Springer
This book constitutes the refereed proceedings of the 13th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2016, held in Columbia, SC, USA, in July 2016. The 57 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical
Reverse Hypothesis Machine Learning
Language: en
Pages: 138
Authors: Parag Kulkarni
Categories: Technology & Engineering
Type: BOOK - Published: 2017-03-30 - Publisher: Springer
This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning
ARTIFICIAL INTELLIGENCE
Language: en
Pages: 528
Authors: PARAG KULKARNI, PRACHI JOSHI
Categories: Computers
Type: BOOK - Published: 2015-02-26 - Publisher: PHI Learning Pvt. Ltd.
There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and
Condition Monitoring with Vibration Signals
Language: en
Pages: 440
Authors: Asoke K. Nandi, Hosameldin Ahmed
Categories: Technology & Engineering
Type: BOOK - Published: 2019-12-23 - Publisher: John Wiley & Sons
Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well
Human-Robot Interaction Control Using Reinforcement Learning
Language: en
Pages: 288
Authors: Wen Yu, Adolfo Perrusquia
Categories: Technology & Engineering
Type: BOOK - Published: 2021-10-06 - Publisher: John Wiley & Sons
A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning, an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art
Fusion of Hard and Soft Control Strategies for the Robotic Hand
Language: en
Pages: 256
Authors: Cheng-Hung Chen, Desineni Subbaram Naidu
Categories: Technology & Engineering
Type: BOOK - Published: 2017-10-09 - Publisher: John Wiley & Sons
An in-depth review of hybrid control techniques for smart prosthetic hand technology by two of the world’s pioneering experts in the field Long considered the stuff of science fiction, a prosthetic hand capable of fully replicating all of that appendage’s various functions is closer to becoming reality than ever before.