Exploring Kolmogorov Complexity Approximations for Data Analysis: Insights and Applications
- DOI
- 10.1007/978-3-031-36007-7_12
- Published
- 2023
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-36007-7_12,
title = {Exploring Kolmogorov Complexity Approximations for Data Analysis: Insights and Applications},
author = {Jorge Miguel Silva and Diogo Pratas and Sérgio Matos},
year = {2023},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-36007-7_12},
url = {https://doi.org/10.1007/978-3-031-36007-7_12}
}RIS
TY - JOUR TI - Exploring Kolmogorov Complexity Approximations for Data Analysis: Insights and Applications AU - Jorge Miguel Silva AU - Diogo Pratas AU - Sérgio Matos PY - 2023 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-36007-7_12 UR - https://doi.org/10.1007/978-3-031-36007-7_12 ER -
APA
Silva, J. M., Pratas, D., & Matos, S. (2023). Exploring Kolmogorov Complexity Approximations for Data Analysis: Insights and Applications. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-36007-7_12
Source records
- crossref · retrieved 2026-09-25T13:12:10.906Z