Meta-Algorithmics
eBook - ePub

Meta-Algorithmics

Patterns for Robust, Low Cost, High Quality Systems

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Meta-Algorithmics

Patterns for Robust, Low Cost, High Quality Systems

About this book

The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower the intelligent system architect to take advantage of this opportunity.

This book explains how to design and build intelligent systems that are optimized for changing system requirements (adaptability), optimized for changing system input (robustness), and optimized for one or more other important system  parameters (e.g., accuracy, efficiency, cost). It provides an overview of traditional parallel processing which is shown to consist primarily of task and component parallelism; before introducing meta-algorithmic parallelism which is based on combining two or more algorithms, classification engines or other systems.

Key features:

  • Explains the entire roadmap for the design, testing, development, refinement, deployment and statistics-driven optimization of building systems for intelligence
  • Offers an accessible yet thorough overview of machine intelligence, in addition to having a strong image processing focus
  • Contains design patterns for parallelism, especially meta-algorithmic parallelism – simply conveyed, reusable and proven effective that can be readily included in the toolbox of experts in analytics, system architecture, big data, security and many other science and engineering disciplines
  • Connects algorithms and analytics to parallelism, thereby illustrating a new way of designing intelligent systems compatible with the tremendous changes in the computing world over the past decade
  • Discusses application of the approaches to a wide number of fields; primarily, document understanding, image understanding, biometrics and security printing
  • Companion website contains sample code and data sets

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Yes, you can access Meta-Algorithmics by Steven J. Simske in PDF and/or ePUB format, as well as other popular books in Tecnologia e ingegneria & Ingegneria elettronica e telecomunicazioni. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Acknowledgments
  5. Chapter 1: Introduction and Overview
  6. Chapter 2: Parallel Forms of Parallelism
  7. Chapter 3: Domain Areas: Where Are These Relevant?
  8. Chapter 4: Applications of Parallelism by Task
  9. Chapter 5: Application of Parallelism by Component
  10. Chapter 6: Introduction to Meta-algorithmics
  11. Chapter 7: First-Order Meta-algorithmics and Their Applications
  12. Chapter 8: Second-Order Meta-algorithmics and Their Applications
  13. Chapter 9: Third-Order Meta-algorithmics and Their Applications
  14. Chapter 10: Building More Robust Systems
  15. Chapter 11: The Future
  16. Index