Monte Carlo Methods for Machine Learning : Practical and Theoretical Contributions for Importance Sampling and Sequential Methods

Yazid Janati el idrissi

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DOI: 10.70675/78271bfcz3247z453dz9d2czc0017f8217b7
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Publisher: Agence Bibliographique de l'Enseignement Supérieur
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Cite this work

BibTeX

@article{allodium:10.70675/78271bfcz3247z453dz9d2czc0017f8217b7,
  title = {Monte Carlo Methods for Machine Learning : Practical and Theoretical Contributions for Importance Sampling and Sequential Methods},
  author = {Yazid Janati el idrissi},
  doi = {10.70675/78271bfcz3247z453dz9d2czc0017f8217b7},
  url = {https://doi.org/10.70675/78271bfcz3247z453dz9d2czc0017f8217b7}
}

RIS

TY  - JOUR
TI  - Monte Carlo Methods for Machine Learning : Practical and Theoretical Contributions for Importance Sampling and Sequential Methods
AU  - Yazid Janati el idrissi
DO  - 10.70675/78271bfcz3247z453dz9d2czc0017f8217b7
UR  - https://doi.org/10.70675/78271bfcz3247z453dz9d2czc0017f8217b7
ER  -

APA

idrissi, Y. J. E. (n.d.). Monte Carlo Methods for Machine Learning : Practical and Theoretical Contributions for Importance Sampling and Sequential Methods. https://doi.org/10.70675/78271bfcz3247z453dz9d2czc0017f8217b7

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crossref · retrieved 2026-09-26T16:53:32.968Z