Manfred Jaeger

Research output

Research output per year 2003 2004 2005 2006 2008 2011 2012 2014 2020 2021

• 32 Article in proceeding
• 16 Journal article
• 3 Book chapter
• 3 Paper without publisher/journal
• 8 More
  • 2 Encyclopedia chapter
  • 2 Conference article in Journal
  • 1 Book
  • 1 Conference abstract for conference
  • 1 Editorial
  • 1 Working paper

Research output per year

Research output per year

Search results

• 2021

  Learning Aggregation Functions

  Pellegrini, G., Tibo, A., Frasconi, P., Passerini, A. & Jaeger, M., 2021, Proceedings of the Thirty International Joint Conference on Artificial Intelligence (IJCAI-21). International Joint Conferences on Artificial Intelligence

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  • Aggregation Function 100%
  • Machine Learning 20%
  • Complex Function 20%
  • Representation Function 20%
  • Representation 20%
• 2020

  A Complete Characterization of Projectivity for Statistical Relational Models

  Jaeger, M. & Schulte, O., 2020, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20). International Joint Conferences on Artificial Intelligence, p. 4283-4290

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  • Relational Database 100%
  • Models 100%
  • Complete 100%
  • Representation 40%
  • Classes 40%
  3 Citations (Scopus)

• Approximating Euclidean by Imprecise Markov Decision Processes

  Jaeger, M., Bacci, G., Bacci, G., Larsen, K. G. & Jensen, P. G., 2020, International Symposium on Leveraging Applications of Formal Methods (ISoLA 2020). Margaria, T. & Steffen, B. (eds.). Springer, p. 275-289 15 p. (Lecture Notes in Computer Science, Vol. 12476).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • Process 100%
  • Decision 100%
  • Markov Decision Process 100%
  • Approximation (Algorithm) 50%
  • Approximation 40%
  4 Citations (Scopus)

• Automatic Anomaly Detection for Sewage Network Sensors

  Tibo, A., Nielsen, T. D., Jaeger, M., Ahm, M. & Rasch, P., 2020.

  Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

  • Anomaly 100%
  • Model 100%
  • Network 100%
  • Sewage 100%
  • Anomaly Detection 100%

• From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach

  Jaeger, M., Larsen, K. G. & Tibo, A., 2020, Runtime Verification - 20th International Conference, RV 2020, Proceedings. Deshmukh, J. & Nickovic, D. (eds.). Springer Science+Business Media, p. 517-535 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12399 LNCS).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  File

  • Statistical Model 100%
  • Bayesian Networks 100%
  • Time Monitoring 100%
  • Model Checking 100%
  • Probability 75%
  61 Downloads (Pure)

• Learning and Interpreting Multi-Multi-Instance Learning Networks

  Tibo, A., Jaeger, M. & Frasconi, P., Oct 2020, In: Journal of Machine Learning Research. 21, 193, p. 1-60 60 p., 193.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Learning Network 100%
  • Instance Learning 100%
  • Functions 100%
  • Models 66%
  • Synthetic Datasets 33%
  7 Citations (Scopus)

  227 Downloads (Pure)
• 2019

  Counts-of-counts similarity for prediction and search in relational data

  Jaeger, M., Lippi, M., Pellegrini, G. & Passerini, A., Sept 2019, In: Data Mining and Knowledge Discovery. 33, 5, p. 1254–1297 44 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Relational Data 100%
  • Classes 66%
  • Real World 33%
  • Practical Interest 33%
  • Nearest Neighbour 33%
  75 Downloads (Pure)

• Teaching Stratego to Play Ball: Optimal Synthesis for Continuous Space MDPs

  Jaeger, M., Jensen, P. G., Larsen, K. G., Legay, A. B. E., Sedwards, S. & Taankvist, J. H., 28 Oct 2019, Automated Technology for Verification and Analysis- 17th International Symposium, AVTA 2019, Proceedings: ATVA 2019: Automated Technology for Verification and Analysis. Chen, Y-F., Cheng, C-H. & Esparza, J. (eds.). Springer, p. 81-97 17 p. (Lecture Notes in Computer Science, Vol. 11781).

  Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  Open Access

  File

  • State Space 100%
  • Continuous Space 100%
  • Synthesis 100%
  • Markov Decision Process 66%
  • Optimal Strategy 33%
  12 Citations (Scopus)

  167 Downloads (Pure)
• 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 proceeding › Article in proceeding › Research › peer-review

  Open Access

  • Domains 100%
  • Models 100%
  • Learning 100%
  • Syntactics 66%
  • Relational Data 33%

• 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 proceeding › Article in proceeding › Research › peer-review

  • Traffic Pattern 100%
  • Application 100%
  • Use Case 33%
  • Workload 33%
  • Virtual Machine 33%
  3 Citations (Scopus)
• 2017

  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 proceeding › Article in proceeding › Research › peer-review

  Open Access
  4 Citations (Scopus)

• 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 journal › Journal article › Research

• 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 proceeding › Encyclopedia chapter › Communication
• 2016

  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 proceeding › Article in proceeding › Research › peer-review
  29 Citations (Scopus)

• 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 journal › Journal article › Research › peer-review

  File

  • Automaton 100%
  • Model Checking 100%
  • Models 100%
  • System Property 40%
  • Learning Algorithm 40%
  34 Citations (Scopus)

  343 Downloads (Pure)
• 2015

  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 journal › Journal article › Research › peer-review

  • Complexity 100%
  • Models 100%
  • Knowledge Base 40%
  • Inference Technique 40%
  • Classes 40%
  5 Citations (Scopus)

• 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 proceeding › Book chapter › Research › peer-review

• Numeric Input Relations for Relational Learning with Applications to Community Structure Analysis

  Jiang, J. & Jaeger, M., 2015, 21 p.

  Research output: Working paper/Preprint › Working paper › Research

  Open Access

  • Input Relation 100%
  • Community Structure 100%
  • Application 100%
  • Models 100%
  • Learning 100%
• 2014

  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 proceeding › Article in proceeding › Research › peer-review

  • Bayesian Networks 100%
  • Social Capital 100%
  • Community Detection 100%
  • Models 100%
  • Networks 75%
  2 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 proceeding › Article in proceeding › Research › peer-review

  • Markov Process 100%
  • Distance Function 100%
  • State Markov Process 50%
  • Leibler Distance 50%
  • Number 50%
  5 Citations (Scopus)

• 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 proceeding › Article in proceeding › Research › peer-review

  • Segmentation 100%
  • Image Segmentation 33%
  • Markov Random Fields 33%
  • Models 33%

• 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 proceeding › Encyclopedia chapter › Research › peer-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 proceeding › Article in proceeding › Research › peer-review

  • Identifiability 100%
  • Classes 100%
  • Models 100%
  • Function Value 40%
  • Identification 40%

• 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 journal › Journal article › Research › peer-review
  5 Citations (Scopus)
• 2012

  Factorial Clustering of Species Distribution Data: Extended Abstract

  Jaeger, M., 2012. 4 p.

  Research output: Contribution to conference without publisher/journal › Paper without publisher/journal › Research › peer-review

• 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 proceeding › Article in proceeding › Research › peer-review

  • Input/Output 100%
  • Automaton 100%
  • Networks 100%
  • Model Checking 100%
  • Models 100%
  2 Citations (Scopus)

• 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 journal › Conference article in Journal › Research › peer-review

  • Algorithms 100%
  • Markov Decision Process 100%
  • Model Checking 100%
  • Models 100%
  • System Behavior 50%

• 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 proceeding › Article in proceeding › Research › peer-review

  File

  • System Behavior 100%
  • Markov Learning Model 100%
  • Models 100%
  • Observation Sequence 60%
  • System Property 40%
  13 Citations (Scopus)

  499 Downloads (Pure)

• Liftability of Probabilistic Inference: Upper and Lower Bounds

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

  Research output: Contribution to conference without publisher/journal › Paper without publisher/journal › Research › peer-review
• 2011

  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 journal › Conference article in Journal › Research › peer-review
  21 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/journal › Paper without publisher/journal › Research › peer-review
  2 Citations (Scopus)

• 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 proceeding › Article in proceeding › Research › peer-review

  File
  41 Citations (Scopus)

  883 Downloads (Pure)

• 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 journal › Journal article › Research › peer-review
  5 Citations (Scopus)
• 2010

  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 proceeding › Book chapter › Research › peer-review
  3 Citations (Scopus)

• 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 journal › Editorial
• 2009

  On fairness and randomness

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

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Probability 100%
  • System Property 50%
  • Fairness Constraint 50%
  • Transitions 50%
  2 Citations (Scopus)

• 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 proceeding › Article in proceeding › Research › peer-review
• 2008

  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 proceeding › Article in proceeding › Research › peer-review
  5 Citations (Scopus)

• 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 proceeding › Article in proceeding › Research

  • Information Gain 100%

• 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 proceeding › Book chapter › Research
  11 Citations (Scopus)

• 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 proceeding › Article in proceeding › Research › peer-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 proceeding › Article in proceeding › Research › peer-review

• 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 proceeding › Article in proceeding › Research › peer-review
  19 Citations (Scopus)
• 2006

  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 proceeding › Article in proceeding › Research › peer-review

  File

  • Graphical Model 100%
  • Accuracy 100%
  • Models 100%
  • Algorithms 14%
  • Support Analysis 14%
  7 Citations (Scopus)

  318 Downloads (Pure)

• 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 journal › Journal article › Research › peer-review

  • Bayesian Networks 100%
  • Experimental Result 25%
  • Arithmetic Circuit 25%
  74 Citations (Scopus)

• 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 proceeding › Article in proceeding › Research › peer-review

• 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 journal › Journal article › Research › peer-review
  19 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 proceeding › Article in proceeding › Research › peer-review

  • Test Statistic 100%
  • Distributional Assumption 100%
  • Optimization 50%
  • Likelihood Function 50%
  • Incomplete Data 50%
  15 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 journal › Journal article › Research › peer-review

  • Guarded Fragment 100%
  • Roles 100%
  • Models 100%
  • Sampling Distribution 50%
  • Quantification 50%
  3 Citations (Scopus)

• 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 proceeding › Article in proceeding › Research › peer-review

  • Profile Likelihood 100%
  • Artificial Intelligence 100%
  • Procedures 100%
  • Incomplete Data 100%
  • Learning 100%