Property | Value |
Working Groups | RG Munk |
Subproject | None |
Open Access | Yes |
Publication Type | Preprint |
Peer Reviewed | No |
DOI | 10.48550/arxiv.2305.18578 |
Publication Year | 2023 |
Title | Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models |
Journal | arXiv |
eISSN | 2331-8422 |
URL | https://arxiv.org/abs/2305.18578 |
Journal Abbreviation | arXiv |
Extra | Not yet finally published in a peer-reviewd journal. |
Authors | Mösching A, Li H, Munk A |
First Author | Mösching A |
Last Author | Munk A |
External Resources
arxiv.org/pdf/2305.18578https://arxiv.org/pdf/2305.18578
Article fulltext
62M05https://mathscinet.ams.org/mathscinet/msc/msc2020.html?t=&s=62M05
MSC2020 database identifier (62M05)
0000-0002-2434-9878https://orcid.org/0000-0002-2434-9878
ORCID identifier (Housen Li)
0000-0002-9181-9331https://orcid.org/0000-0002-9181-9331
ORCID identifier (Axel Munk)
05xy1nn52https://ror.org/05xy1nn52
ROR identifier (05xy1nn52, Multiscale Bioimaging)
01y9bpm73https://ror.org/01y9bpm73
ROR identifier (01y9bpm73, University of Göttingen)
mbexc.de...odels/https://mbexc.de/quick-adaptive-ternary-segmentation-an-efficient-decoding-procedure-for-hidden-markov-models/
Website entry (mbexc.de)