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ORCIDDaniel Lowd
- > Home > Persons > Daniel Lowd
Publications
- 2019
[j4]Pedro M. Domingos, Daniel Lowd:
Unifying logical and statistical AI with Markov logic. Commun. ACM 62(7): 74-83 (2019)- 2017
- [i7]Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha:
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR abs/1711.03902 (2017) - 2016
- [c30]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla:
Unifying Logical and Statistical AI. LICS 2016: 1-11 - 2012
- [i2]Daniel Lowd, Pedro M. Domingos:
Learning Arithmetic Circuits. CoRR abs/1206.3271 (2012) - 2010
- [c11]Daniel Lowd, Pedro M. Domingos:
Approximate Inference by Compilation to Arithmetic Circuits. NIPS 2010: 1477-1485 - [p2]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla:
Markov Logic: A Language and Algorithms for Link Mining. Link Mining 2010: 135-161 - 2009
- [b1]Pedro M. Domingos, Daniel Lowd:
Markov Logic: An Interface Layer for Artificial Intelligence. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2009, ISBN 978-3-031-00421-6 - 2008
- [c8]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla:
Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) 2008: 1-25 - [c7]Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang:
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR 2008: 3 - [c6]Daniel Lowd, Pedro M. Domingos:
Learning Arithmetic Circuits. UAI 2008: 383-392 - [p1]Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla:
Markov Logic. Probabilistic Inductive Logic Programming 2008: 92-117 - 2007
- [c5]Daniel Lowd, Pedro M. Domingos:
Recursive Random Fields. IJCAI 2007: 950-955 - [c4]Daniel Lowd, Pedro M. Domingos:
Efficient Weight Learning for Markov Logic Networks. PKDD 2007: 200-211 - 2005
- [c2]Daniel Lowd, Pedro M. Domingos:
Naive Bayes models for probability estimation. ICML 2005: 529-536
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