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Information Theoretic Principles for Agent Learning / by Jerry D. Gibson.
Springer Nature - Synthesis Collection of Technology Collection 14 (2025) Available online
View online- Format:
- Book
- Author/Creator:
- Gibson, Jerry D.
- Series:
- Synthesis Lectures on Engineering, Science, and Technology, 2690-0327
- Language:
- English
- Subjects (All):
- Wireless communication systems.
- Mobile communication systems.
- Human-machine systems.
- Computational intelligence.
- Wireless and Mobile Communication.
- Human-Machine Interfaces.
- Computational Intelligence.
- Local Subjects:
- Wireless and Mobile Communication.
- Human-Machine Interfaces.
- Computational Intelligence.
- Physical Description:
- 1 online resource (99 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This book provides readers with the fundamentals of information theoretic techniques for statistical data science analyses and for characterizing the behavior and performance of a learning agent outside of the standard results on communications and compression fundamental limits. Readers will benefit from the presentation of information theoretic quantities, definitions, and results that provide or could provide insights into data science and learning. In addition, this book: Describes the fundamentals of information theoretic techniques for statistical data science analyses Provides succinct introductions to key topics, with references as needed for further technical depth Enables readers from varying backgrounds to understand the behavior and performance of a learning agent.
- Contents:
- Background and Overview
- Entropy and Mutual Information
- Differential Entropy, Entropy Rate, and Maximum Entropy
- Typical Sequences and The AEP
- Markov Chains and Cascaded Systems
- Hypothesis Testing, Estimation, Information, and Sufficient Statistics
- Information Theoretic Quantities and Learning
- Estimation and Entropy Power
- Time Series Analyses
- Information Bottleneck Principle
- Channel Capacity
- Rate Distortion Theory.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Gibson, Jerry D. Information Theoretic Principles for Agent Learning
- ISBN:
- 9783031653889
- OCLC:
- 1453209575
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