Apress Windows 10 Release Sale

Handbook of Weighted Automata

By Manfred Droste , Werner Kuich , Heiko Vogler

  • eBook Price: $179.00
Buy eBook Buy Print Book

Handbook of Weighted Automata Cover Image

This book covers all the main aspects of weighted automata and formal power series methods, ranging from theory to applications. The contributors are the leading experts in their respective areas. Chapters offer pointers to future research.

Full Description

  • Add to Wishlist
  • ISBN13: 978-3-6420-1491-8
  • 628 Pages
  • User Level: Science
  • Publication Date: September 18, 2009
  • Available eBook Formats: PDF

Related Titles

  • Information Systems and Neuroscience
  • BPM - Driving Innovation in a Digital World
  • Data-Driven Process Discovery and Analysis
  • Physical Asset Management
  • Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII
  • UML @ Classroom
  • AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing
  • Computational Color Imaging
  • Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
  • Non-Linear Finite Element Analysis in Structural Mechanics
Full Description
Weighted finite automata are classical nondeterministic finite automata in which the transitions carry weights. These weights may model, for example, the cost involved when executing a transition, the resources or time needed for this, or the probability or reliability of its successful execution. Weights can also be added to classical automata with infinite state sets like pushdown automata, and this extension constitutes the general concept of weighted automata. Since their introduction in the 1960s they have stimulated research in related areas of theoretical computer science, including formal language theory, algebra, logic, and discrete structures. Moreover, weighted automata and weighted context-free grammars have found application in natural-language processing, speech recognition, and digital image compression. This book covers all the main aspects of weighted automata and formal power series methods, ranging from theory to applications. The contributors are the leading experts in their respective areas, and each chapter presents a detailed survey of the state of the art and pointers to future research. The chapters in Part I cover the foundations of the theory of weighted automata, specifically addressing semirings, power series, and fixed point theory. Part II investigates different concepts of weighted recognizability. Part III examines alternative types of weighted automata and various discrete structures other than words. Finally, Part IV deals with applications of weighted automata, including digital image compression, fuzzy languages, model checking, and natural-language processing. Computer scientists and mathematicians will find this book an excellent survey and reference volume, and it will also be a valuable resource for students exploring this exciting research area.
Table of Contents

Table of Contents

  1. Part I, Foundations: Semirings and Formal Power Series.
  2. Fixed Point Theory. Part II, Concepts of Weighted Recognizability: Finite Automata.
  3. Rational and Recognisable Power Series.
  4. Weighted Automata and Weighted Logics.
  5. Weighted Automata Algorithms. Part III, Weighted Discrete Structures: Algebraic Systems and Pushdown Automata.
  6. Lindenmayer Systems.
  7. Weighted Tree Automata and Tree Transducers.
  8. Traces, Series
  9. Parallel Posets, and Pictures: A Weighted Study. Part IV, Applications: Digital Image Compression.
  10. Fuzzy Languages.
  11. Model Checking Linear
  12. Time Properties of Probabilistic Systems.
  13. Applications of Weighted Automata in Natural Language Processing. Index.

Please Login to submit errata.

No errata are currently published


    1. Pro SQL Server Internals


      View Details

    2. Beginning 3D Game Development with Unity 4


      View Details

    3. Beginning iPhone Development with Swift


      View Details

    4. Financial Modeling for Business Owners and Entrepreneurs


      View Details