A Relative Value Function Based Learning Beam Search for Longest Common Subsequence Problems

Huber, M.; Raidl, G. R.

by M. Huber, G. R. Raidl

Reference:

A Relative Value Function Based Learning Beam Search for Longest Common Subsequence ProblemsM. Huber, G. R. RaidlChapter in Extended Abstracts of the 18th International Conference on Computer Aided Systems Theory – EUROCAST 2022 (Alexis Quesada-Arencibia, others, eds.), pages 22–23, 2022.

Bibtex Entry:

@incollection{huber-22,
  author = {M. Huber and G. R. Raidl},
  title = {A Relative Value Function Based Learning Beam Search for Longest Common Subsequence Problems},
  booktitle = {Extended Abstracts of the 18th International Conference on Computer Aided Systems Theory -- EUROCAST 2022 },
  address = {Gran Canaria, Spain},
  editor = {Alexis Quesada-Arencibia and others},
  pages = {22--23},
  year = {2022},
  url={https://www.ac.tuwien.ac.at/files/pub/huber-22.pdf}
}