An Analysis of Regularized Approaches for Constrained Machine Learning / Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela. - ELETTRONICO. - 12641:(2021), pp. 112-119. (Intervento presentato al convegno 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020 tenutosi a Online nel 4-5 September 2020) [10.1007/978-3-030-73959-1_11].

An Analysis of Regularized Approaches for Constrained Machine Learning

Lombardi, Michele;Baldo, Federico;Borghesi, Andrea;Milano, Michela
2021

2021
Trustworthy AI - Integrating Learning, Optimization and Reasoning. TAILOR 2020.
112
119
An Analysis of Regularized Approaches for Constrained Machine Learning / Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela. - ELETTRONICO. - 12641:(2021), pp. 112-119. (Intervento presentato al convegno 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020 tenutosi a Online nel 4-5 September 2020) [10.1007/978-3-030-73959-1_11].
Lombardi, Michele; Baldo, Federico; Borghesi, Andrea; Milano, Michela
File in questo prodotto:
File Dimensione Formato  
tailor2020_paper58_camReady.pdf

accesso aperto

Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 1.09 MB
Formato Adobe PDF
1.09 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/822500
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact