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Learning Political DNA in the Italian Senate

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
Motivated by the increasing interest of the control community towards social sciences and the study of opinion formation and belief systems, in this paper we address the problem of exploiting voting data for inferring the underlying affinity of individuals to competing ideology groups.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
belief networks; data analysis; feature extraction; government data processing; learning (artificial intelligence); legislation; politics; probability; random processes
Elenco autori:
Dabbene, Fabrizio; Ravazzi, Chiara
Autori di Ateneo:
DABBENE FABRIZIO
RAVAZZI CHIARA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/403171
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