Accès ouvert
2022
article
OpenAlex
Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim et autres
Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse spheres, including conservation, epidemiology, climate science, and …
no, gb, us, be, es, de, ch, ca
(code pays fourni par la source)
Accès ouvert
2022
dataset
OpenAlex
Emily G. Simmonds, Kwaku Adjei Peprah, Christoffer Wold Andersen, Janne Cathrin Helte Aspheim et autres
This upload contains 7 data files (each contains cleaned and compiled data for a given scientific field) and 2 R scripts. These files support the paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines. Description of the data …
no, gb, us, be, es, de, ch, ca, au
(code pays fourni par la source)
Accès ouvert
2022
dataset
OpenAlex
Emily G. Simmonds, Kwaku Adjei Peprah, Christoffer Wold Andersen, Janne Cathrin Helte Aspheim et autres
This upload contains 7 data files (each contains cleaned and compiled data for a given scientific field) and 2 R scripts. These files support the paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines. Description of the data …
no, gb, us, be, es, de, ch, ca, au
(code pays fourni par la source)
Accès ouvert
2022
preprint
OpenAlex
Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim et autres
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the only way we can answer how much we know about any phenomenon. With quantitative science now highly influential in the public sphere and the results …
no, us, gb, sk, de, ch, ca
(code pays fourni par la source)
Accès ouvert
2021
article
OpenAlex
Nicola Bulso, Yasser Roudi
We study the type of distributions that restricted Boltzmann machines (RBMs) with different activation functions can express by investigating the effect of the activation function of the hidden nodes on the marginal distribution they impose on observed binary nodes. We report an …
it, no
(code pays fourni par la source)
2020
dissertation
OpenAlex
Nicola Bulso
2019
article
OpenAlex
Nicola Bulso, Matteo Marsili, Yasser Roudi
We investigate the complexity of logistic regression models, which is defined by counting the number of indistinguishable distributions that the model can represent (Balasubramanian, 1997 ). We find that the complexity of logistic models with binary inputs depends not only on the …
no, it
(code pays fourni par la source)
Accès ouvert
2019
preprint
OpenAlex
Nicola Bulso, Matteo Marsili, Yasser Roudi
We investigate the complexity of logistic regression models which is defined by counting the number of indistinguishable distributions that the model can represent (Balasubramanian, 1997). We find that the complexity of logistic models with binary inputs does not only depend on the …
no, it
(code pays fourni par la source)
Accès ouvert
2016
article
OpenAlex
Nicola Bulso, Matteo Marsili, Yasser Roudi
We propose a method for recovering the structure of a sparse undirected graphical model when very few samples are available. The method decides about the presence or absence of bonds between pairs of variable by considering one pair at a time and …
it, us
(code pays fourni par la source)
Accès ouvert
2014
article
OpenAlex
Nicola Bulso, Claudio Conti
We investigate beam diffraction and spatial modulation instability of coherent light beams propagating in the nonparaxial regime in a nonlinear Kerr medium. We study the instability of plane-wave solutions in terms of the degree of nonparaxiality, beyond the regime of validity of …
it
(code pays fourni par la source)