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pro vyhledávání: '"Scheel, Ida"'
We propose the Pseudo-Mallows distribution over the set of all permutations of $n$ items, to approximate the posterior distribution with a Mallows likelihood. The Mallows model has been proven to be useful for recommender systems where it can be used
Externí odkaz:
http://arxiv.org/abs/2205.13911
Publikováno v:
In Decision Support Systems March 2024 178
Publikováno v:
Journal of Machine Learning Research, 20(129):1-30, 2019
New methods for time-to-event prediction are proposed by extending the Cox proportional hazards model with neural networks. Building on methodology from nested case-control studies, we propose a loss function that scales well to large data sets, and
Externí odkaz:
http://arxiv.org/abs/1907.00825
Clicking data, which exists in abundance and contains objective user preference information, is widely used to produce personalized recommendations in web-based applications. Current popular recommendation algorithms, typically based on matrix factor
Externí odkaz:
http://arxiv.org/abs/1904.03099
Akademický článek
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Autor:
Parviero, Riccardo, Hellton, Kristoffer H., Haug, Ola, Engø-Monsen, Kenth, Rognebakke, Hanne, Canright, Geoffrey, Frigessi, Arnoldo, Scheel, Ida
Publikováno v:
In International Journal of Information Management Data Insights November 2022 2(2)
Autor:
Gåsemyr, Jørund1 (AUTHOR) gaasemyr@math.uio.no, Scheel, Ida1 (AUTHOR)
Publikováno v:
Scandinavian Journal of Statistics. Dec2019, Vol. 46 Issue 4, p1252-1273. 22p.
Autor:
Scheel, Ida, Ferkingstad, Egil, Frigessi, Arnoldo, Haug, Ola, Hinnerichsen, Mikkel, Meze-Hausken, Elisabeth
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2013 Jan 01. 62(1), 85-100.
Externí odkaz:
http://dx.doi.org/10.1111/j.1467-9876.2012.01039.x