Manfred Jaeger
Manfred Jaeger
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Parameter learning for relational bayesian networks
M Jaeger
Proceedings of the 24th international conference on Machine learning, 369-376, 2007
Probabilistic reasoning in terminological logics
M Jaeger
Principles of Knowledge Representation and Reasoning, 305-316, 1994
Compiling relational Bayesian networks for exact inference
M Chavira, A Darwiche, M Jaeger
International Journal of Approximate Reasoning 42 (1), 4-20, 2006
Compiling Relational Bayesian Networks for Exact Inference
M Jaeger, M Chavira, A Darwiche
Proceedings of the Second European Workshop on Probabilistic Graphical Models, 2004
A theory of inductive query answering
LD Raedt, M Jaeger, SD Lee, H Mannila
Inductive databases and constraint-based data mining, 79-103, 2010
Complex probabilistic modeling with recursive relational Bayesian networks
M Jaeger
Annals of Mathematics and Artificial Intelligence 32 (1), 179-220, 2001
Extending ProbLog with continuous distributions
B Gutmann, M Jaeger, L De Raedt
International Conference on Inductive Logic Programming, 76-91, 2010
Probabilistic decision graphs—combining verification and AI techniques for probabilistic inference
M Jaeger
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2004
Learning probabilistic automata for model checking
H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen
2011 Eighth International Conference on Quantitative Evaluation of Systems …, 2011
Relational bayesian networks: a survey
M Jaeger
Electronic Transactions in Artificial Intelligence 6, 60, 2002
Learning deterministic probabilistic automata from a model checking perspective
H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen
Machine Learning 105 (2), 255-299, 2016
On the complexity of inference about probabilistic relational models
M Jaeger
Artificial Intelligence 117 (2), 297-308, 2000
Liftability of probabilistic inference: Upper and lower bounds
M Jaeger, G Van den Broeck
Proceedings of the 2nd international workshop on statistical relational AI, 2012
Learning probabilistic decision graphs
M Jaeger, JD Nielsen, T Silander
International Journal of Approximate Reasoning 42 (1-2), 84-100, 2006
Reasoning about infinite random structures with relational Bayesian networks
M Jaeger
To appear in Proc. of KR 98, 1, 1998
Learning Markov decision processes for model checking
H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen
arXiv preprint arXiv:1212.3873, 2012
On testing the missing at random assumption
M Jaeger
European Conference on Machine Learning, 671-678, 2006
Probabilistic classifiers and the concepts they recognize
M Jaeger
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
Learning-Based Cleansing for Indoor RFID Data
AI Baba, M Jaeger, H Lu, TB Pedersen, WS Ku, X Xie
Proceedings of the 2016 International Conference on Management of Data, 925-936, 2016
Model-theoretic expressivity analysis
M Jaeger
Probabilistic inductive logic programming, 325-339, 2008
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