Reinforcement and Systemic Machine Learning for Decision Making (Hardcover)

Reinforcement and Systemic Machine Learning for Decision Making (Hardcover)

作者: Parag Kulkarni
出版社: IEEE
出版在: 2012-08-14
ISBN-13: 9780470919996
ISBN-10: 047091999X
裝訂格式: Hardcover
總頁數: 312 頁





內容描述


Reinforcement and Systemic Machine Learning for Decision Making
There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm—creating new learning applications and, ultimately, more intelligent machines.
The first book of its kind in this new and growing field, Reinforcement and Systemic Machine Learning for Decision Making focuses on the specialized research area of machine learning and systemic machine learning. It addresses reinforcement learning and its applications, incremental machine learning, repetitive failure-correction mechanisms, and multiperspective decision making.
Chapters include:

Introduction to Reinforcement and Systemic Machine Learning
Fundamentals of Whole-System, Systemic, and Multiperspective Machine 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 paradigm to become one of the more utilized in its field, professionals in the area of machine and systemic learning will find this book to be a valuable resource.




相關書籍

Make Your Own Python Text Adventure: A Guide to Learning Programming

作者 Phillip Johnson

2012-08-14

人工智慧導論 (鴻海教育基金會發行)

作者 鴻海教育基金會

2012-08-14

商業智能數據分析:從零開始學 PowerBI 和 Tableau 自助式BI

作者 雷元

2012-08-14