eBook-Reinforcement and Systemic Machine Learning for Decision Making
Available Exclusively as an eBook | Part of the AI eBook Collection | Only for Institutional Purchase | Publication Year: 2012
Description
Reinforcement and Systemic Machine Learning for Decision Making by Parag Kulkarni presents a holistic approach to machine learning, focusing on reinforcement learning, systemic learning, incremental learning, and multiperspective decision making to build intelligent machines that learn from experience over time.
Table of Contents
1 Introduction to Reinforcement and Systemic Machine Learning
2 Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning
3 Reinforcement Learning
4 Systemic Machine Learning and Model
5 Inference and Information Integration
6 Adaptive Learning
7 Multiperspective and Whole-System Learning
8 Incremental Learning and Knowledge Representation
9 Knowledge Augmentation: A Machine Learning Perspective
10 Building a Learning System