Cikkek nyilvánosan hozzáférhető megbízással - Pedro DomingosTovábbi információ
Valahol hozzáférhető: 14
Probabilistic theorem proving
V Gogate, P Domingos
Communications of the ACM 59 (7), 107-115, 2016
Megbízások: US National Science Foundation
Unifying logical and statistical AI
P Domingos, D Lowd, S Kok, A Nath, H Poon, M Richardson, P Singla
Proceedings of the 31st Annual acm/ieee Symposium on Logic in Computer …, 2016
Megbízások: US National Science Foundation
On the latent variable interpretation in sum-product networks
R Peharz, R Gens, F Pernkopf, P Domingos
IEEE transactions on pattern analysis and machine intelligence 39 (10), 2030 …, 2016
Megbízások: Austrian Science Fund
On theoretical properties of sum-product networks
R Peharz, S Tschiatschek, F Pernkopf, P Domingos
Artificial Intelligence and Statistics, 744-752, 2015
Megbízások: Austrian Science Fund
Learning selective sum-product networks
R Peharz, R Gens, P Domingos
31st International Conference on Machine Learning (ICML2014), 2014
Megbízások: Austrian Science Fund
Unifying logical and statistical AI with Markov logic
P Domingos, D Lowd
Communications of the ACM 62 (7), 74-83, 2019
Megbízások: US National Science Foundation, US Department of Defense
Model checking
EM Clarke, EA Emerson, J Sifakis
Communications of the ACM 52 (11), 74-84, 2009
Megbízások: German Research Foundation
Amodal 3d reconstruction for robotic manipulation via stability and connectivity
W Agnew, C Xie, A Walsman, O Murad, Y Wang, P Domingos, S Srinivasa
Conference on Robot Learning, 1498-1508, 2021
Megbízások: US National Science Foundation, US Department of Defense, US National …
Trading memory for answers: Towards tabling ProbLog
A Kimmig, B Gutmann, V Santos Costa
International Workshop on Statistical Relational Learning, Date: 2009/07/02 …, 2009
Megbízások: Research Foundation (Flanders)
Compositional kernel machines
R Gens, P Domingos
Megbízások: US Department of Defense
Unifying sum-product networks and submodular fields
AL Friesen, P Domingos
Proceedings of the Workshop on Principled Approaches to Deep Learning at …, 2017
Megbízások: US Department of Defense
Submodular field grammars: representation, inference, and application to image parsing
AL Friesen, PM Domingos
Advances in Neural Information Processing Systems 31, 2018
Megbízások: US Department of Defense
Unsupervised object-level deep reinforcement learning
W Agnew, P Domingos
NeurIPS workshop on deep RL, 2018
Megbízások: US Department of Defense
From ProbLog to first order logic: A first exploration
J Vennekens, A Kimmig, T Mantadelis, B Gutmann, M Bruynooghe, ...
Proceedings 2009 International Workshop on Statistical Relational Learning, 1-3, 2009
Megbízások: Research Foundation (Flanders)
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