Zobrazeno 1 - 10
of 3 205
pro vyhledávání: '"Fokkema AT"'
Prediction Rule Ensembles (PREs) are robust and interpretable statistical learning techniques with potential for predictive analytics, yet their efficacy in the presence of missing data is untested. This study uses multiple imputation to fill in miss
Externí odkaz:
http://arxiv.org/abs/2410.16187
Ensemble methods such as random forests have transformed the landscape of supervised learning, offering highly accurate prediction through the aggregation of multiple weak learners. However, despite their effectiveness, these methods often lack trans
Externí odkaz:
http://arxiv.org/abs/2409.06439
We introduce a computationally efficient algorithm for zeroth-order bandit convex optimisation and prove that in the adversarial setting its regret is at most $d^{3.5} \sqrt{n} \mathrm{polylog}(n, d)$ with high probability where $d$ is the dimension
Externí odkaz:
http://arxiv.org/abs/2406.06506
Autor:
Fokkema, Marjolein, Zeileis, Achim
Growth curve models are popular tools for studying the development of a response variable within subjects over time. Heterogeneity between subjects is common in such models, and researchers are typically interested in explaining or predicting this he
Externí odkaz:
http://arxiv.org/abs/2309.05862
Algorithmic recourse provides explanations that help users overturn an unfavorable decision by a machine learning system. But so far very little attention has been paid to whether providing recourse is beneficial or not. We introduce an abstract lear
Externí odkaz:
http://arxiv.org/abs/2306.00497
Autor:
C. D. Fokkema, T. Agterhuis, D. Gerritsma, M. de Goeij, X. Liu, P. de Regt, A. Rice, L. Vennema, C. Agnini, P. K. Bijl, J. Frieling, M. Huber, F. Peterse, A. Sluijs
Publikováno v:
Climate of the Past, Vol 20, Pp 1303-1325 (2024)
Climate variability is typically amplified towards polar regions. The underlying causes, notably albedo and humidity changes, are challenging to accurately quantify with observations or models, thus hampering projections of future polar amplification
Externí odkaz:
https://doaj.org/article/b183b73f503e4573a6aa5a5f9b12bcdc
Autor:
van Loon, Wouter, Fokkema, Marjolein, de Vos, Frank, Koini, Marisa, Schmidt, Reinhold, de Rooij, Mark
Publikováno v:
Information Fusion 111 (2024) 102524
Data for which a set of objects is described by multiple distinct feature sets (called views) is known as multi-view data. When missing values occur in multi-view data, all features in a view are likely to be missing simultaneously. This may lead to
Externí odkaz:
http://arxiv.org/abs/2210.14484
Different users of machine learning methods require different explanations, depending on their goals. To make machine learning accountable to society, one important goal is to get actionable options for recourse, which allow an affected user to chang
Externí odkaz:
http://arxiv.org/abs/2205.15834
Autor:
van Loon, Wouter, Fokkema, Marjolein, de Vos, Frank, Koini, Marisa, Schmidt, Reinhold, de Rooij, Mark
Publikováno v:
In Information Fusion November 2024 111
Publikováno v:
In Journal of Cleaner Production 25 September 2024 472