Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Xiaoting Shao; Martin Trapp; Kristian Kersting; Zoubin Ghahramani

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Xiaoting Shao, Martin Trapp, Kristian Kersting, Zoubin Ghahramani

Institut für Signalverarbeitung und Sprachkommunikation (4420)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Originalsprache	englisch
Titel	Conference on Uncertainty in Artificial Intelligence (UAI)
Publikationsstatus	Veröffentlicht - Juli 2019

Dieses zitieren

@inproceedings{1f6fbd6808304e4c90943837514aba40,

title = "Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning",

author = "Robert Peharz and Antonio Vergari and Karl Stelzner and Alejandro Molina and Xiaoting Shao and Martin Trapp and Kristian Kersting and Zoubin Ghahramani",

year = "2019",

month = jul,

language = "English",

booktitle = "Conference on Uncertainty in Artificial Intelligence (UAI)",

}

TY - GEN

T1 - Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

AU - Peharz, Robert

AU - Vergari, Antonio

AU - Stelzner, Karl

AU - Molina, Alejandro

AU - Shao, Xiaoting

AU - Trapp, Martin

AU - Kersting, Kristian

AU - Ghahramani, Zoubin

PY - 2019/7

Y1 - 2019/7

M3 - Conference paper

BT - Conference on Uncertainty in Artificial Intelligence (UAI)

ER -