Photo of Manfred Jaeger
  • Selma Lagerløfs Vej 300, 1-2-36

    9220 Aalborg Ø

    Denmark

  • Selma Lagerlöfs Vej 300, Cassiopeia

    9220 Aalborg

    Denmark

20032018
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Research Output 2003 2018

2018

Inference, Learning, and Population Size: Projectivity for SRL Models

Jaeger, M. & Schulte, O., 2018, Eighth International Workshop on Statistical Relational AI: Accepted Papers. Statistical Relational AI (StarAI), 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
population size
learning
prediction

NetSlicer: Automated and Traffic-Pattern Based Application Clustering in Datacenters

Schiff, L., Ziv, O., Jaeger, M. & Schmid, S., 7 Aug 2018, Big-DAMA 2018 - Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Part of SIGCOMM 2018. Association for Computing Machinery, p. 21-26 6 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Industry
Virtual machine
2017
1 Citation (Scopus)

A Network Architecture for Multi-Multi-Instance Learning

Tibo, A., Frasconi, P. & Jaeger, M., 2017, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I. Springer, p. 737-752 16 p. (Lecture Notes in Computer Science . Sublibrary: Lecture Notes in Artificial Intelligence, Vol. 10534).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Cleansing indoor RFID tracking data

Baba, A. I., Lu, H., Pedersen, T. B. & Jaeger, M., 2017, In : SIGSPATIAL Special. 9, 1, p. 11-18 8 p.

Research output: Contribution to journalJournal articleResearch

Probabilistic Logic and Relational Models

Jaeger, M., 2017, Encyclopedia of Social Network Analysis and Mining. Alhajj, R. & Rokne, J. (eds.). 2nd ed. Springer

Research output: Contribution to book/anthology/report/conference proceedingEncyclopedia chapterCommunication

2016
6 Citations (Scopus)

Learning-Based Cleansing for Indoor RFID Data

Baba, A. I., Jaeger, M., Lu, H., Pedersen, T. B., Ku, W-S. & Xie, X., 2016, ACM SIGMOD Conference. Association for Computing Machinery, p. 925-936 12 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

11 Citations (Scopus)
200 Downloads (Pure)

Learning deterministic probabilistic automata from a model checking perspective

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2016, In : Machine Learning. 105, 2, p. 255-299 45 p.

Research output: Contribution to journalJournal articleResearchpeer-review

File
Model checking
Learning algorithms
Temporal logic
Hardware
2015
4 Citations (Scopus)

Lower complexity bounds for lifted inference

Jaeger, M., 2015, In : Theory and Practice of Logic Programming. 15, 2, p. 246-263

Research output: Contribution to journalJournal articleResearchpeer-review

Low Complexity
Quantifiers
Knowledge Base
Relational Model
Artificial intelligence

Multiple Image Segmentation

Smets, J. & Jaeger, M., 2015, Pattern Recognition Applications and Methods: Third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers. Fred, A., De Marsico, M. & Tabbone, A. (eds.). Springer, p. 3-18 16 p. (Lecture Notes in Computer Science, Vol. 9443).

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

Open Access
Bayesian networks
Random variables
Probability distributions
Maximum likelihood
Statistical Models
2014
2 Citations (Scopus)

Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks

Jiang, J. & Jaeger, M., 2014, Foundations of Intelligent Systems: 21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings. Andreasen, T., Christiansen, H., Cubero, J-C. & Raś, Z. W. (eds.). Springer Publishing Company, Vol. 8502. p. 30-39 (Lecture Notes in Computer Science).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Bayesian networks
Specifications
4 Citations (Scopus)

Continuity Properties of Distances for Markov Processes

Jaeger, M., Mao, H., Larsen, K. G. & Mardare, R. I., 2014, Quantitative Evaluation of Systems: 11th International Conference, QEST 2014, Florence, Italy, September 8-10, 2014. Proceedings. Norman, G. & Sanders, W. (eds.). Springer, Vol. 8657. p. 297-312 (Lecture Notes in Computer Science).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Distance Function
Markov Process
Kullback-Leibler Distance
Trace
Metric

Multiple Segmentation of Image Stacks

Smets, J. & Jaeger, M., 2014, ICPRAM 2014 - International Conference on Pattern Recognition Applications and Methods. SCITEPRESS Digital Library, p. 5-13

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Convolution
Image segmentation
Pixels

Probabilistic Logic and Relational Models

Jaeger, M., 2014, Encyclopedia of Social Network Analysis and Mining. Springer, p. 1403-1416

Research output: Contribution to book/anthology/report/conference proceedingEncyclopedia chapterResearchpeer-review

2013

Identifiability of Model Properties in Over-Parameterized Model Classes

Jaeger, M., 2013, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III. Blockeel, H., Kersting, K., Nijssen, S. & Železný, F. (eds.). Berlin: Springer Publishing Company, p. 112-127 16 p. (Lecture Notes in Computer Science, Vol. 8190).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Identifiability
Learnability
Query
Probabilistic Model
Value Function
4 Citations (Scopus)

Type Extension Trees for Feature Construction and Learning in Relational Domains

Jaeger, M., Lippi, M., Passerini, A. & Frasconi, P., 2013, In : Artificial Intelligence. 204, p. 30-55 26 p.

Research output: Contribution to journalJournal articleResearchpeer-review

2012

Factorial Clustering of Species Distribution Data: Extended Abstract

Jaeger, M., 2012. 4 p.

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review

2 Citations (Scopus)

Learning and Model-checking Networks of I/O Automata

Mao, H. & Jaeger, M., 2012, Proceeding of the 4th Asian Conference on Machine Learning (ACML 2012). Hoi, S. C. H. & Buntine, W. (eds.). p. 285-300 (JMLR Workshop and Conference Proceedings, Vol. 25).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Model checking

Learning Markov Decision Processes for Model Checking

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2012, In : Electronic Proceedings in Theoretical Computer Science. 103, p. 49-63

Research output: Contribution to journalConference article in JournalResearchpeer-review

Model checking
Temporal logic
Finite automata
Learning algorithms
Learning systems
10 Citations (Scopus)
279 Downloads (Pure)

Learning Markov models for stationary system behaviors

Chen, Y., Mao, H., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2012, NASA Formal Methods: 4th International Symposium, NFM 2012, Norfolk, VA, USA, April 3-5, 2012. Proceedings. Goodloe, A. E. & Person, S. (eds.). Springer, p. 216-230 15 p. (Lecture Notes in Computer Science, Vol. 7226).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Embedded systems
Markov processes
Learning systems
Hardware
Experiments

Liftability of Probabilistic Inference: Upper and Lower Bounds

Jaeger, M. & Van den Broeck, G., 2012. 8 p.

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review

2011
9 Citations (Scopus)

Extending ProbLog with Continuous Distributions

Gutmann, B., Jaeger, M. & De Raedt, L., 2011, In : Lecture Notes in Computer Science. 6489, p. 76-91 16 p.

Research output: Contribution to journalConference article in JournalResearchpeer-review

2 Citations (Scopus)

Factorial Clustering with an Application to Plant Distribution Data

Jaeger, M., Lyager, S., Vandborg, M. & Wohlgemuth, T., 2011. 12 p.

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review

27 Citations (Scopus)
664 Downloads (Pure)

Learning Probabilistic Automata for Model Checking

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2011, 8th International Conference on Quantitative Evaluation of Systems (QEST). IEEE, p. 111-120 10 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
3 Citations (Scopus)

Relational Information Gain

Lippi, M., Jaeger, M., Frasconi, P. & Passerini, A., 2011, In : Machine Learning. 83, 2, p. 219-239 21 p.

Research output: Contribution to journalJournal articleResearchpeer-review

2010
1 Citation (Scopus)

A Theory of Inductive Query Answering

De Raedt, L., Jaeger, M., Lee, S. D. & Mannila, H., 2010, Inductive Databases and Constraint-Based Data Mining. Dzeroski, S., Goethals, B. & Panov, P. (eds.). Springer, p. 79-103

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

Editorial: Special Issue on PGM-2008

Jaeger, M. & Nielsen, T. D., Jun 2010, In : International Journal of Approximate Reasoning. 51, 5, p. 473

Research output: Contribution to journalEditorialResearch

2009
1 Citation (Scopus)

On fairness and randomness

Jaeger, M., 2009, In : Information and Computation. 207, 9, p. 909-922 14 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Fairness
Randomness
Concretes
Transition Probability
Completeness

Relational Information Gain

Lippi, M., Jaeger, M., Frasconi, P. & Passerini, A., 2009, Online Proceedings of 19th International Conference on Inductive Logic Programming. Raedt, L. D. (ed.). 6 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2008
5 Citations (Scopus)

Feature Discovery with Type Extension Trees

Frasconi, P., Jaeger, M. & Passerini, A., 2008, Proceedings of the 18th international conference on Inductive Logic Programming. Springer, p. 122-139 (Lecture Notes in Computer Science; No. 5194).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Learning Type Extension Trees for Metal Bonding State Prediction

Frasconi, P., Jaeger, M. & Passerini, A., 2008, StReBio Workshop online proceedings. 4 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

Proteins
Metals
7 Citations (Scopus)

Model-Theoretic Expressivity Analysis

Jaeger, M., 2008, Probabilistic Inductive Logic Programming: Theory and Applications. De Raedt, L., Frasconi, P., Kersting, K. & Muggleton, S. (eds.). Berlin/Heidelberg: Springer, p. 325-339 (Lecture Notes In Artificial Intelligence; No. 4911).

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearch

Probabilistic-Logic Models: Reasoning and Learning with Relational Structures

Jaeger, M., 2008, Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008. IOS Press, p. 197-200 4 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2007

Comparative Evaluation of PL Languages and Systems: A Work-in-Progress Report

Jaeger, M., Lidman, P. & Mateo, J. L., 2007, Proceedings of Mining and Learning with Graphs. 4 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

18 Citations (Scopus)

Parameter Learning for Relational Bayesian Networks

Jaeger, M., 2007, Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007). Association for Computing Machinery, p. 369-376 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2006
6 Citations (Scopus)
262 Downloads (Pure)

An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models

Nielsen, J. D. & Jaeger, M., 2006, Proceedings of the Third European Workshop on Probabilistic Graphical Models. p. 215-222 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
62 Citations (Scopus)

Compiling Relational Bayesian Networks for Exact Inference

Jaeger, M., Darwiche, A. & Chavira, M., 2006, In : International Journal of Approximate Reasoning. 42, 1-2, p. 4-20

Research output: Contribution to journalJournal articleResearchpeer-review

Exact Inference
Bayesian networks
Bayesian Networks
Differentiating circuits
Arithmetic Circuits

Expressivity analysis for PL-languages

Jaeger, M., Kersting, K. & De Raedt, L., 2006, Online Proceedings of the Workshop on Statistical Relational Learning (SRL-06). 2 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

15 Citations (Scopus)

Learning Probabilistic Decision Graphs

Jaeger, M., Nielsen, J. D. & Silander, T., 2006, In : International Journal of Approximate Reasoning. 42, 1-2, p. 84-100

Research output: Contribution to journalJournal articleResearchpeer-review

13 Citations (Scopus)

On testing the missing at random assumption

Jaeger, M., 2006, Machine Learning: ECML 2006: 17th European Conference on Machine Learning. Berlin, Germany, September 2006. Proceedings. p. 671-678 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Statistics
Testing
3 Citations (Scopus)

Probabilistic role models and the guarded fragment

Jaeger, M., 2006, In : International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 14, 1, p. 43-59 17 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Semantics
Sampling
Statistical Models

The AI&M procedure for learning from incomplete data

Jaeger, M., 2006, Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence (UAI-06). Association for Uncertainty in Artificial Intelligence, p. 225-232 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Bayesian networks

Type extension trees: a unified framework for relational feature construction

Jaeger, M., 2006, Proceedings of the International Workshop on Mining and Learning with Graphs: in conjunction with ECML/PKDD 2006. p. 49-60 12 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Data mining
2005
6 Citations (Scopus)

A logic for inductive probabilistic reasoning

Jaeger, M., 2005, In : Synthese. 144, 2, p. 181-248

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)

A Representation Theorem and Applications to Measure Selection and Noninformative Priors

Jaeger, M., 2005, In : International Journal of Approximate Reasoning. 38, 3, p. 217-243

Research output: Contribution to journalJournal articleResearchpeer-review

Noninformative Prior
Representation Theorem
Invariance
Probability distributions
Equivariance
13 Citations (Scopus)

Ignorability for categorical data

Jaeger, M., Aug 2005, In : Annals of Statistics. 33, 4, p. 1964-1981 17 p.

Research output: Contribution to journalJournal articleResearchpeer-review

10 Citations (Scopus)

Ignorability in Statistical and Probabilistic Inference

Jaeger, M., 2005, In : Journal of Artificial Intelligence Research. 24, p. 889-917

Research output: Contribution to journalJournal articleResearchpeer-review

Coarsening
Probability distributions
Computational complexity
2004
173 Downloads (Pure)

Compiling Relational Bayesian Networks for Exact Inference

Jaeger, M., Chavira, M. & Darwiche, A., 2004, Proceedings of the Second European Workshop on Probabilistic Graphical Models. (Editor), P. L. (ed.).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

Open Access
File
Bayesian networks
Differentiating circuits
Networks (circuits)
249 Downloads (Pure)

Learning Probabilistic Decision Graphs

Jaeger, M., Dalgaard, J. & Silander, T., 2004, Proceedings of the Second European Workshop on Probabilistic Graphical Models. Lucas, P. (ed.).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

Open Access
File
Bayesian networks
Computational efficiency
Binary decision diagrams
Probability distributions
Experiments
32 Citations (Scopus)
Bayesian networks
Statistical Models