|
|
|
|
|
Nikhil Iyengar, Dushhyanth Rajaram and Dimitri Mavris
Uncertainties in the atmosphere and flight conditions can drastically impact the performance of an aircraft and result in certification delays. However, uncertainty propagation in high-fidelity simulations, which have become integral to the design proces...
ver más
|
|
|
|
|
|
|
|
|
Andrea Rondinelli, Lorenzo Bongiovanni and Valerio Basile
Topic classification is the task of mapping text onto a set of meaningful labels known beforehand. This scenario is very common both in academia and industry whenever there is the need of categorizing a big corpus of documents according to set custom lab...
ver más
|
|
|
|
|
|
|
|
|
Marcelo Chan Fu Wei, Ricardo Canal Filho, Tiago Rodrigues Tavares, José Paulo Molin and Afrânio Márcio Corrêa Vieira
To obtain a better performance when modeling soil spectral data for attribute prediction, researchers frequently resort to data pretreatment, aiming to reduce noise and highlight the spectral features. Even with the awareness of the existence of dimensio...
ver más
|
|
|
|
|
|
|
|
|
Fatima Antarou Ba and Michael Quellmalz
We consider the numerical solution of the discrete multi-marginal optimal transport (MOT) by means of the Sinkhorn algorithm. In general, the Sinkhorn algorithm suffers from the curse of dimensionality with respect to the number of marginals. If the MOT ...
ver más
|
|
|
|
|
|
|
|
|
A.V. Vorobyev
Pág. 29 - 34
The limited availability of information collection is a factor hindering the application of high-performance machine learning algorithms. The development of methods to improve the accuracy of models while reducing the observation periods, can be an effec...
ver más
|
|
|
|