Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vincenzo Crescimanna"'
Autor:
Vincenzo Crescimanna, Luca Di Persio
Publikováno v:
Journal of Mathematics, Vol 2016 (2016)
We provide an approach based on a modification of the Ising model to describe the dynamics of stock markets. Our model incorporates three different factors: imitation, the impact of external news, and private information; moreover, it is characterize
Externí odkaz:
https://doaj.org/article/bd7e5f499d3647f7902f7520c4df1cef
Autor:
Vincenzo Crescimanna, Bruce P. Graham
Publikováno v:
IJCNN
The Variational AutoEncoder (VAE) learns simultaneously an inference and a generative model, but only one of these models can be learned at optimum, this behaviour is associated to the ELBO learning objective, that is optimised by a non-informative g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a8e0ac85fa22aca3aed79ca28b320b3
https://doi.org/10.1109/ijcnn48605.2020.9207048
https://doi.org/10.1109/ijcnn48605.2020.9207048
Autor:
Vincenzo Crescimanna, Bruce P. Graham
Publikováno v:
Proceedings of the International Neural Networks Society ISBN: 9783030168407
INNSBDDL
INNSBDDL
We present a variation of the Autoencoder (AE) that explicitly maximizes the mutual information between the input data and the hidden representation. The proposed model, the InfoMax Autoencoder (IMAE), by construction is able to learn a robust repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935dd50ddf1ed5eecc81dfb7b4f245f5
https://doi.org/10.1007/978-3-030-16841-4_10
https://doi.org/10.1007/978-3-030-16841-4_10
Autor:
Imen Rached, Roman Senkerik, Ioan Salomie, Tudor Cioara, Joana Dias, Claudia Pop, Katarzyna Wegrzyn-Wolska, Andrea Bracciali, Juan C. Burguillo, Horacio González-Vélez, Vincenzo Crescimanna, Aleš Zamuda
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High-Performance Modelling and Simulation for Big Data Applications
Lecture Notes in Computer Science ISBN: 9783030162719
High-Performance Modelling and Simulation for Big Data Applications
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
High-Performance Modelling and Simulation for Big Data Applications-Selected Results of the COST Action IC1406 cHiPSet
Lecture Notes in Computer Science-High-Performance Modelling and Simulation for Big Data Applications
Lecture Notes in Computer Science ISBN: 9783030162719
High-Performance Modelling and Simulation for Big Data Applications
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
High-Performance Modelling and Simulation for Big Data Applications-Selected Results of the COST Action IC1406 cHiPSet
This chapter surveys the state-of-the-art in forecasting cryptocurrency value by Sentiment Analysis. Key compounding perspectives of current challenges are addressed, including blockchains, data collection, annotation, and filtering, and sentiment an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53aeee8a8cbf113f876382e2918990c8
http://link.springer.com/10.1007/978-3-030-16272-6_12
http://link.springer.com/10.1007/978-3-030-16272-6_12