Machine Learning and Algorithmic Techniques for Error Correction Conference Paper uri icon

abstract

  • 2018 IEEE. Many types of data, such as natural languages, have rich internal redundancy, which can be used to substantially improve the error correction performance. This work studies machine learning and algorithmic techniques for correcting errors in compressed or uncompressed languages.

name of conference

  • 2018 Information Theory and Applications Workshop (ITA)

published proceedings

  • 2018 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA)

altmetric score

  • 0.25

author list (cited authors)

  • Jiang, A. A.

citation count

  • 0

complete list of authors

  • Jiang, Anxiao Andrew

publication date

  • January 2018