Kulkarni Reinforcement and Systemic Machine Learning for Decision Making

1. Auflage 2012
ISBN: 978-1-118-27153-7
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 320 Seiten, E-Book

Reihe: IEEE Series on Systems Science and Engineering

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.

Autoren/Hrsg.

Kulkarni, Parag

Über Autor(innen)

Parag Kulkarni, PhD, DSc, is the founder and Chief Scientist of EKLat Research where he has empowered businesses through machine learning, knowledge management, and systemic management. He has been working within the IT industry for over twenty years. The recipient of several awards, Dr. Kulkarni is a pioneer in the field. His areas of research and product development include M-maps, intelligent systems, text mining, image processing, decision systems, forecasting, IT strategy, artificial intelligence, and machine learning. Dr. Kulkarni has over 100 research publications including several books.