Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors
- DOI
- 10.1109/jstsp.2020.3045297
- Published
- 2021-04
- Container
- IEEE Journal of Selected Topics in Signal Processing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jstsp.2020.3045297,
title = {Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors},
author = {Sinan Yldrm and M. Burak Kurutmaz and Melih Barsbey and Umut Simsekli and A. Taylan Cemgil},
year = {2021},
journal = {IEEE Journal of Selected Topics in Signal Processing},
doi = {10.1109/jstsp.2020.3045297},
url = {https://doi.org/10.1109/jstsp.2020.3045297}
}RIS
TY - JOUR TI - Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors AU - Sinan Yldrm AU - M. Burak Kurutmaz AU - Melih Barsbey AU - Umut Simsekli AU - A. Taylan Cemgil PY - 2021 JO - IEEE Journal of Selected Topics in Signal Processing DO - 10.1109/jstsp.2020.3045297 UR - https://doi.org/10.1109/jstsp.2020.3045297 ER -
APA
Yldrm, S., Kurutmaz, M. B., Barsbey, M., Simsekli, U., & Cemgil, A. T. (2021). Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. IEEE Journal of Selected Topics in Signal Processing. https://doi.org/10.1109/jstsp.2020.3045297
Source records
- crossref · retrieved 2026-09-25T21:18:49.869Z