Result 1 to 20 of 134 total
Deep transfer: A Markov logic approach. (English)
AI Mag. 32, No. 1, 51-53 (2011).
1
Probabilistic theorem proving (English)
UAI, 256-265 (2011).
2
Approximation by quantization (English)
UAI, 247-255 (2011).
3
Sum-product networks: A new deep architecture (English)
UAI, 337-346 (2011).
4
Coarse-to-fine inference and learning for first-order probabilistic models (English)
AAAI (2011).
5
Unsupervised ontology induction from text (English)
ACL, 296-305 (2010).
6
Bottom-up learning of Markov network structure (English)
ICML, 271-278 (2010).
7
Learning Markov logic networks using structural motifs (English)
ICML, 551-558 (2010).
8
Formula-based probabilistic inference (English)
UAI, 210-219 (2010).
9
Efficient belief propagation for utility maximization and repeated inference (English)
AAAI (2010).
10
Efficient lifting for online probabilistic inference (English)
AAAI (2010).
11
Approximate inference by compilation to arithmetic circuits (English)
NIPS, 1477-1485 (2010).
12
Learning efficient Markov networks (English)
NIPS, 748-756 (2010).
13
Markov logic. An interface layer for artificial intelligence. With contributions by Jesse Davis, Tuyen Huynh, Stanley Kok, Lilyana Mihalkova, Raymond J. Mooney, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, and Jue Wang. (English)
Synthesis Lectures on Artificial Intelligence and Machine Learning 7. San Rafael, CA: Morgan \& Claypool Publishers (ISBN 978-1-59829-692-1/pbk; 978-1-598-29693-8/ebook). ix, 145~p. (2009).
14
Markov logic: an interface layer for artificial intelligence (English)
Synthesis Lectures on Artificial Intelligence and Machine Learning: Markov Logic: An Interface Layer for Artificial Intelligence (2009).
15
Unsupervised semantic parsing (English)
EMNLP, 1-10 (2009).
16
Learning Markov logic network structure via hypergraph lifting (English)
ICML, 64 (2009).
17
Deep transfer via second-order Markov logic (English)
ICML, 28 (2009).
18
Structured machine learning: The next ten years. (English)
Mach. Learn. 73, No. 1, 3-23 (2008).
19
Just add weights: Markov logic for the semantic web. (English)
da Costa, Paulo Cesar G. (ed.) et al., Uncertainty reasoning for the semantic web I. ISWC international workshops, URSW 2005‒2007. Revised selected and invited papers. Berlin: Springer (ISBN 978-3-540-89764-4/pbk). Lecture Notes in Computer Science 5327. Lecture Notes in Artificial Intelligence, 1-25 (2008).
20
Result 1 to 20 of 134 total
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