Jesse Davis
Jesse Davis
Associate Professor, Department of Computer Science, KU Leuven
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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
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
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
Deep transfer via second-order markov logic
J Davis, P Domingos
Proceedings of the 26th annual international conference on machine learning …, 2009
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
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
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
ICML’06: Proceedings of the 23rd International Conference on Machine Learning
J Davis, M Goadrich
New York, NY, USA: ACM, 233-240, 2006
Learning Markov network structure with decision trees
D Lowd, J Davis
2010 IEEE International Conference on Data Mining, 334-343, 2010
Bottom-up learning of Markov network structure
J Davis, P Domingos
Proceedings of the 27th International Conference on Machine Learning, 271-280, 2010
Markov network structure learning: A randomized feature generation approach
J Van Haaren, J Davis
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
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
Change of Representation for Statistical Relational Learning.
J Davis, IM Ong, J Struyf, ES Burnside, D Page, VS Costa
IJCAI, 2719-2726, 2007
Using bayesian classifiers to combine rules
J Davis, VS Costa, IM Ong, D Page, I Dutra
Conditioning in first-order knowledge compilation and lifted probabilistic inference
G Van den Broeck, J Davis
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
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
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
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
Establishing identity equivalence in multi-relational domains
J Davis, I Dutra, D Page, V Santos Costa
Proceedings of the International Conference on Intelligence Analysis, 2005
Improving markov network structure learning using decision trees
D Lowd, J Davis
The Journal of Machine Learning Research 15 (1), 501-532, 2014
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Artículos 1–20