Jesse Davis
Jesse Davis
Associate Professor, Department of Computer Science, KU Leuven
Dirección de correo verificada de cs.kuleuven.be - Página principal
TítuloCitado porAño
The relationship between Precision-Recall and ROC curves
J Davis, M Goadrich
Proceedings of the 23rd international conference on Machine learning, 233-240, 2006
34602006
Bottom-up learning of Markov logic network structure
L Mihalkova, RJ Mooney
Proceedings of the 24th international conference on Machine learning, 625-632, 2007
2322007
Learning first-order horn clauses from web text
S Schoenmackers, O Etzioni, DS Weld, J Davis
Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010
1982010
Deep transfer via second-order markov logic
J Davis, P Domingos
Proceedings of the 26th annual international conference on machine learning …, 2009
1642009
Lifted probabilistic inference by first-order knowledge compilation
G Van den Broeck, N Taghipour, W Meert, J Davis, L De Raedt
Proceedings of the Twenty-Second international joint conference on …, 2011
1562011
ICML’06: Proceedings of the 23rd International Conference on Machine Learning
J Davis, M Goadrich
New York, NY, USA: ACM, 233-240, 2006
872006
Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings1
ES Burnside, J Davis, J Chhatwal, O Alagoz, MJ Lindstrom, BM Geller, ...
Radiology 251 (3), 663-672, 2009
862009
An integrated approach to learning Bayesian networks of rules
J Davis, E Burnside, I de Castro Dutra, D Page, VS Costa
European Conference on Machine Learning, 84-95, 2005
752005
View Learning for Statistical Relational Learning: With an Application to Mammography.
J Davis, ES Burnside, I de Castro Dutra, D Page, R Ramakrishnan, ...
IJCAI, 677-683, 2005
662005
Learning Markov network structure with decision trees
D Lowd, J Davis
2010 IEEE International Conference on Data Mining, 334-343, 2010
622010
Markov network structure learning: A randomized feature generation approach
J Van Haaren, J Davis
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
572012
Unachievable region in precision-recall space and its effect on empirical evaluation
K Boyd, VS Costa, J Davis, CD Page
Proceedings of the... International Conference on Machine Learning …, 2012
432012
Change of Representation for Statistical Relational Learning.
J Davis, IM Ong, J Struyf, ES Burnside, D Page, VS Costa
IJCAI, 2719-2726, 2007
402007
Using Bayesian classifiers to combine rules
J Davis, VS Costa, IM Ong, D Page, I Dutra
402004
Knowledge discovery from structured mammography reports using inductive logic programming
ES Burnside, J Davis, VS Costa, I de Castro Dutra, CE Kahn Jr, J Fine, ...
AMIA Annual Symposium Proceedings 2005, 96, 2005
382005
Conditioning in first-order knowledge compilation and lifted probabilistic inference
G Van den Broeck, J Davis
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
372012
Lifted variable elimination: Decoupling the operators from the constraint language
N Taghipour, D Fierens, J Davis, H Blockeel
Journal of Artificial Intelligence Research 47, 393-439, 2013
362013
Automatically detecting and rating product aspects from textual customer reviews
W Bancken, D Alfarone, J Davis
Proceedings of the 1st international workshop on interactions between data …, 2014
332014
Improving Markov network structure learning using decision trees
D Lowd, J Davis
The Journal of Machine Learning Research 15 (1), 501-532, 2014
332014
Tractable learning for complex probability queries
J Bekker, J Davis, A Choi, A Darwiche, G Van den Broeck
Advances in Neural Information Processing Systems, 2242-2250, 2015
302015
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