Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Rendas, Maria-João"'
Unbiased assessment of the predictivity of models learnt by supervised machine-learning methods requires knowledge of the learned function over a reserved test set (not used by the learning algorithm). The quality of the assessment depends, naturally
Externí odkaz:
http://arxiv.org/abs/2207.03724
Autor:
Pronzato, Luc, Rendas, Maria-João
We construct validation designs $Z_m$ aimed at estimating the integrated squared prediction error of a given design $X_n$. Our approach is based on the minimization of a maximum mean discrepancy for a particular kernel, conditional on $X_n$, so that
Externí odkaz:
http://arxiv.org/abs/2112.05583
The paper addresses the problem of defining families of ordered sequences $\{x_i\}_{i\in N}$ of elements of a compact subset $X$ of $R^d$ whose prefixes $X_n=\{x_i\}_{i=1}^{n}$, for all orders $n$, have good space-filling properties as measured by th
Externí odkaz:
http://arxiv.org/abs/2106.05833
Autor:
Fédou, Jean-Marc, Rendas, Maria João
The paper addresses design of experiments for classifying the input factors of a multi-variate function into negligible, linear and other (non-linear/interaction) factors. We give constructive procedures for completing the definition of the clustered
Externí odkaz:
http://arxiv.org/abs/1307.1996
Autor:
Pronzato, Luc, Rendas, Maria-João
Publikováno v:
Technometrics, 2017 Aug 01. 59(3), 293-304.
Externí odkaz:
https://www.jstor.org/stable/44869174
Autor:
Pronzato, Luc, Rendas, Maria-João
We construct validation designs $Z_m$ aimed at estimating the integrated squared prediction error of a given design $X_n$. Our approach is based on the minimization of a maximum mean discrepancy for a particular kernel, conditional on $X_n$, so that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60a642d5a92a7d539c799baedb55bbc1
https://hal.archives-ouvertes.fr/hal-03474805/document
https://hal.archives-ouvertes.fr/hal-03474805/document
Increasingly complex numerical models are involved in a variety of modern engineering applications, ranging from evaluation of environmental risks to optimisation of sophisticated industrial processes. Study of climat change is an extremely well-know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af94c05bca017b5bf71a932fe55eaf5e
https://hal.archives-ouvertes.fr/hal-02483076/document
https://hal.archives-ouvertes.fr/hal-02483076/document
Autor:
Rendas, Maria-João
Publikováno v:
In IFAC Proceedings Volumes July 2004 37(8):555-560
Autor:
Rolfes, Stefan, Rendas, Maria-João
Publikováno v:
In IFAC Proceedings Volumes July 2004 37(8):84-89
Autor:
Rolfes, Stefan, Rendas, Maria-João
Publikováno v:
In Robotics and Autonomous Systems 2002 41(2):129-136