Publications by Manfred Jaeger
Journal Articles and Book Chapters
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Manfred Jaeger: Probabilistic Logic and Relational Models. In: Encyclopedia of Social Network Analysis and Mining. Springer. To appear.
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Manfred Jaeger: Lower Complexity Bounds for Lifted Inference. To appear in Theory and Practice of Logic Programming (TPLP). Published online May 2014.
Online paper
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Manfred Jaeger, Marco Lippi, Andrea Passerini, and Paolo Frasconi: Type Extension Trees for Feature Construction and Learning in
Relational Domains. In Artificial Intelligence, Vol. 204, pp. 30-55, 2013.
Preprint
Published Article
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Marco Lippi, Manfred Jaeger, Paolo Frasconi and Andrea Passerini: Relational information gain.
Machine Learning,
Vol. 83 No. 2, pp. 219-239, 2011.
Published Article
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Luc De Raedt, Manfred Jaeger, Sau Dan Lee and Heikki Mannila: A Theory of Inductive Query Answering. In:
Saso Dzeroski, Bart Goethals and Pance Panov (Eds.) Inductive Databases and Constraint-Based Data Mining .
Springer, 2010.
Published Article
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Manfred Jaeger: On fairness and randomness. Information and Computation Vol. 207(9), pp. 909-922, 2009
Preprint,
Published Article
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Manfred Jaeger: Model-Theoretic Expressivity Analysis. In: L. De Raedt, P. Frasconi, K. Kersting, S.Muggleton (Eds) Probabilistic Inductive Logic Programming. Springer Lecture Notes in Computer Science, Vol.4911, 2008.
Preprint,
Published Article
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Manfred Jaeger, Jens D. Nielsen, Tomi Silander: Learning Probabilistic Decision Graphs,
International Journal of Approximate Reasoning, 42:84-100,2006.
Abstract,
Published Article,
Preprint
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Mark Chavira, Adnan Darwiche, Manfred Jaeger: Compiling Relational Bayesian Networks for Exact Inference,
International Journal of Approximate Reasoning,
42:4-20,2006.
Abstract,
Published Article
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Probabilistic Role Models and the Guarded Fragment,
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems,
Vol. 14(1):43-59, 2006
Abstract,
Published Article
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Ignorability in Statistical and Probabilistic Inference.
Journal of Artificial Intelligence Research
24:889-917,2005.
Abstract,
Published Article
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A Logic for Inductive Probabilistic Reasoning.
Synthese, 144: 181-248, 2005.
Abstract,
Preprint (PDF),
Published Article
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Ignorability for Categorical Data. The Annals of Statistics, 33(4):1964-1981, 2005.
Abstract,
PDF
- A Representation Theorem and Applications to Measure Selection and Noninformative Priors.
International Journal of Approximate Reasoning, 38 (3):217-243, 2005
Abstract,
Preprint(PDF),
Published Article
- Probabilistic Decision Graphs -- Combining Verification and AI
Techniques for Probabilistic Inference. International
Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12:19-42, 2004
Abstract,
PDF
- Relational Bayesian Networks: a Survey. Electronic Transactions in Artificial
Intelligence, 6 , 2002.
Abstract,
PDF
- Automatic Derivation of Probabilistic Inference Rules. International
Journal of Approximate Reasoning, 28(1):1-22, 2001
Abstract, Preprint(PDF)
- Complex Probabilistic Modeling with Recursive Relational Bayesian
Networks. Annals of Mathematics and Artificial Intelligence 32
(2001), pp. 179 - 220.
Abstract, Preprint(PDF)
- On the Complexity of Inference about Probabilistic Relational
Models. Artificial Intelligence, 117 (2000), pp. 297-308.
Abstract, Preprint(PDF)
- Circumscription: Completeness reviewed. Artificial
Intelligence, 60 (1993), pp. 293-301.
Abstract, Preprint(PDF)
Articles in Refereed Conference and Workshop Proceedings
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Manfred Jaeger, Hua Mao, Kim G. Larsen and Radu Mardare: Continuity Properties of Distances for Markov Processes.
In:Proc. of the 11th International Conference on Quantitative Evaluation of SysTems (QEST 2014)
LNCS Vol. 8657, pp. 297-312.
Preprint with proof appendix,
Published Paper
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Jiuchuan Jiang and Manfred Jaeger: Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks. In: Proc. of the 21st Int. Symposium on Foundations of Intelligent Systems (ISMIS-2014)
LNCS Vol. 8502, pp. 30-39.
Published Paper
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Jonathan Smets and Manfred Jaeger: Multiple Segmentation of Image Stacks. In:
Proc. of the 3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014) pp. 5-13
Preprint,
Published Paper
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Manfred Jaeger: Identifiability of Model Properties in Over-Parameterized Model Classes. In:
Proc. of ECML-13 Springer LNAI 8190, pp. 112-127
Preprint,
Published paper
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Hua Mao and Manfred Jaeger: Learning and Model-Checking Networks of I/O Automata.
In: Proceedings of the Fourth Asian Conference on Machine Learning (ACML).2012.
Published paper.
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Yingke Chen, Hua Mao, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, and Brian Nielsen:
Learning Markov models for stationary system behaviors. In: Proceedings of the 4th NASA Formal Methods Symposium (NFM). 2012.
Published paper.
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Manfred Jaeger and Guy Van den Broeck: Liftability of Probabilistic Inference: Upper and Lower Bounds.
In: Proceedings of the 2nd International Workshop on Statistical Relational AI . 2012.
Published paper.
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Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, and Brian Nielsen:
Learning Probabilistic Automata for Model Checking. In: Proceedings of 8th International Conference
on Quantitative Evaluation of SysTems (QEST). 2011.
Published paper.
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Manfred Jaeger, Simon P. Lyager, Michael W. Vandborg, and Thomas
Wohlgemuth: Factorial Clustering with an Application to
Plant Distribution Data. In: Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using
Multiple Clusterings. 2011.
Published paper
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Bernd Gutmann, Manfred Jaeger and Luc De Raedt:
Extending ProbLog with Continuous Distributions. In: Inductive Logic Programming.
Proceedings of the 20th International Conference. LNCS 6489, Springer 2011.
Published Paper
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Marco Lippi, Manfred Jaeger, Paolo Frasconi, and Andrea Passerini:
Relational Information Gain. In: Online Proceedings of the 19th International Conference on Inductive Logic Programming (ILP 2009)
Published Paper
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Paolo Frasconi, Manfred Jaeger, and Andrea Passerini: Feature Discovery with Type Extension Trees. In: Proceedings of
the 18th Int. Conf. on Inductive Logic Programming (ILP-08). Springer Lecture Notes in Computer Science Vol.5194.
2008.
Preprint
Published Article
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Manfred Jaeger, Petr Lidman, and Juan L. Mateo: Comparative Evaluation of PL Languages and Systems.
In: Proceedings of Mining and Learning with Graphs (MLG-07). 2007.
Published paper
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Parameter Learning for Relational Bayesian Networks. In: Proceedings of ICML-07 .
2007.
Published paper
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Type Extension Trees: a Unified Framework for Relational Feature Construction. In: Proceedings of
ECML/PKDD workshop on Mining and Learning with Graphs (MLG-2006). 2006.
Published paper
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On Testing the Missing at Random Assumption. In: Proceedings of ECML-06. p. 671-678, 2006
Preprint
Published Article
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Jens Dalgaard Nielsen and Manfred Jaeger: An Empirical Study of Efficiency and Accuracy of Probabilistic
Graphical Models. In: Proceedings of PGM-06 (http://mtr.utia.cas.cz/pgm06/proceedings/index.html)
Published paper
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The AI&M Procedure for Learning from Incomplete Data. In: Proceedings of UAI-06, pp. 225-232, 2006.
Published Paper
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Manfred Jaeger, Kristian Kersting and Luc De Raedt: Expressivity Analysis for PL-Languages (position paper).
In: Online proceedings of SRL 2006, 2pp, 2006
Published Paper
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Manfred Jaeger, Jens D. Nielsen, Tomi Silander: Learning Probabilistic Decision Graphs.
In: Proceedings of the second European workshop on probabilistic graphical models. pp.113-120. 2004.
Abstract,
PDF
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Mark Chavira, Adnan Darwiche, Manfred Jaeger: Compiling Relational Bayesian Networks for Exact Inference.
In: Proceedings of the second European workshop on probabilistic graphical models. pp.49-56. 2004.
Abstract,
PDF
- Probabilistic Role Models and the Guarded Fragment. In
Proceedings of IPMU-04. pp.235-242
Abstract,
PDF
- Probabilistic Classifiers and the Concepts they Recognize. In Proceedings
of ICML 2003.
Abstract,
PDF
- A Representation Theorem and Applications. In Proceedings
of ECSQARU 2003.
Abstract,
PDF
- Probabilistic Decision Graphs - Combining Verification and AI
Techniques for Probabilistic Inference. In: Proceedings of the
first European Workshop on Probabilistic Graphical Models, 2002.
Abstract,
PDF
- Luc de Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila: A
Theory of Inductive Query Answering. In Proceedings of ICDM'02.
Abstract,
PDF
- Constraints as Data: A New Perspective on Inferring
Probabilities. In: Proceedings of IJCAI-01.
Abstract,
PDF
- Fairness, Computable Fairness and Randomness. In: Proceedings of
the 2nd International Workshop on Probabilistic Methods in Verification
(PROBMIV99). Technical Report CSR-99-8, School of Computer Science,
University of Birmingham (1999)
Abstract,
PDF
- Measure Selection: Notions of Rationality and Representation
Independence. In: Proceedings of UAI-98.
Abstract,
PDF
- Convergence Results for Relational Bayesian Networks. In: Proceedings
of LICS-98.
Abstract,
PDF
- Reasoning About Infinite Random Structures with Relational
Bayesian Networks. In: Proceedings of KR-98, Morgan Kaufman,
San Francisco, CA. (1998)
Abstract,
PDF
- Relational Bayesian Networks. In: Proceedings of UAI-97,
Morgan Kaufmann, San Francisco, CA. (1997)
Abstract ,
PDF
- Representation independence of nonmonotonic inference relations.
In: Proceedings of KR'96, Morgan Kaufmann, San Francisco, CA.
(1996)
Abstract,
PDF
- M. Jaeger, H. Mannila and E. Weydert: Data mining as selective
theory extraction in probabilistic logic. In: SIGMOD'96 Data Mining
Workshop
PDF
- Minimum Cross-Entropy Reasoning: A Statistical Justification. In Proceedings
of IJCAI-95
Abstract ,
PDF
- A Logic for Default Reasoning About Probabilities. In Proceedings
of the Tenth Conference on Uncertainty in Artificial Intelligence
(UAI-94), Morgan Kaufmann, San Francisco, CA.
Abstract,
PDF
- Probabilistic Reasoning in Terminological Logics. In J. Doyle, E.
Sandewall, and P. Torasso, editors, Principles of Knowledge
Representation and Reasoning: Proceedings of the Fourth International
Conference (KR94), Morgan Kaufmann, San Francisco, CA.
Abstract,
PDF
Others
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Manfred Jaeger: Lower Complexity Bounds for Lifted Inference.
Manuscript on arXiv. Revised version to appear in Theory and Practice of Logic Programming
Paper
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Manfred Jaeger: Factorial Clustering of Species Distribution Data (Extended Abstract).
3rd International Conference on Computational Sustainability .2012.
Paper
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Manfred Jaeger: Probabilistic-Logic Models: Reasoning and Learning with Relational Structures.
In:Proc. of the 10th Scandinavian Conference on Artificial Intelligence (extended abstract). 2008.
PDF
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Importance Sampling on Relational Bayesian Networks. In L. De Raedt et al. ed.
Probabilistic, Logical and Relational Learning - Towards a Synthesis, Dagstuhl Seminar
Proceedings 05051, 2006.
Abstract, Paper
- A Representation Theorem and Applications to Measure Selection
and Noninformative Priors. Technical Report MPI-I-2003-2-002,
Max-Planck-Institut für Informatik, 2003.
Abstract
, pdf
- A Probabilistic Extension of Terminological Logics. Technical
Report MPI-I-94-208, Max-Planck-Institut für Informatik, 1994.
PhD Thesis
- Default Reasoning about Probabilities. PhD. thesis,
Universität des Saarlandes , 1995.
Abstract, Thesis(527KB)
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Last modified Aug 29, 2005