Semisupervised Learning for Computational Linguistics
eBook - PDF

Semisupervised Learning for Computational Linguistics

  1. 320 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Semisupervised Learning for Computational Linguistics

Book details
Table of contents
Citations

About This Book

The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offer

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Yes, you can access Semisupervised Learning for Computational Linguistics by Steven Abney in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2007
ISBN
9781420010800
Edition
1
Topic
Economics
Subtopic
Statistics for Business & Economics
Index
Economics

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Semisupervised Learning for Computational Linguistics
  5. Preamble
  6. Contents
  7. Chapter 1: Introduction
  8. Chapter 2: Self-training and Co-training
  9. Chapter 3: Applications of Self-Training and Co-Training
  10. Chapter 4: Classification
  11. Chapter 5: Mathematics for Boundary-Oriented Methods
  12. Chapter 6: Boundary-Oriented Methods
  13. Chapter 7: Clustering
  14. Chapter 8: Generative Models
  15. Chapter 9: Agreement Constraints
  16. Chapter 10: Propagation Methods
  17. Chapter 11: Mathematics for Spectral Methods
  18. Chapter 12: Spectral Methods
  19. Bibliography
  20. Index