On partial information retrieval: the unconstrained 100 prisoner problem

Ivano Lodato, Snehal M. Shekatkar, Tian An Wong

Open source

DOI
10.1007/s00236-022-00436-y
Published
2022-12-30
Container
Acta Informatica
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s00236-022-00436-y,
  title = {On partial information retrieval: the unconstrained 100 prisoner problem},
  author = {Ivano Lodato and Snehal M. Shekatkar and Tian An Wong},
  year = {2022},
  journal = {Acta Informatica},
  doi = {10.1007/s00236-022-00436-y},
  url = {https://doi.org/10.1007/s00236-022-00436-y}
}

RIS

TY  - JOUR
TI  - On partial information retrieval: the unconstrained 100 prisoner problem
AU  - Ivano Lodato
AU  - Snehal M. Shekatkar
AU  - Tian An Wong
PY  - 2022
JO  - Acta Informatica
DO  - 10.1007/s00236-022-00436-y
UR  - https://doi.org/10.1007/s00236-022-00436-y
ER  - 

APA

Lodato, I., Shekatkar, S. M., & Wong, T. A. (2022). On partial information retrieval: the unconstrained 100 prisoner problem. Acta Informatica. https://doi.org/10.1007/s00236-022-00436-y

Source records