Manfred Jaeger

Erfaneh Mahmoudzaheh Ahmadi Nejad

Frontiers Artif. Intell., February, 2023

Meta-Path Learning for Multi-relational Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Joint Link Prediction Via Inference from a Model.

[BibT_eX]

[DOI]

Parmis Naddaf

Kiarash Zahirnia

Oliver Schulte

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

The AIM and EM Algorithms for Learning from Coarse Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Learning and Reasoning with Graph Data: Neural and Statistical-Relational Approaches (Invited Paper).

[BibT_eX]

[DOI]

Proceedings of the International Research School in Artificial Intelligence in Bergen, 2022

2021

Learning Aggregation Functions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learning and Interpreting Multi-Multi-Instance Learning Networks.

[BibT_eX]

[DOI]

Paolo Frasconi

J. Mach. Learn. Res., 2020

A general framework for defining and optimizing robustness.

[BibT_eX]

[DOI]

Kim G. Larsen

CoRR, 2020

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

[BibT_eX]

[DOI]

Kim G. Larsen

Proceedings of the Runtime Verification - 20th International Conference, 2020

Preface.

[BibT_eX]

[DOI]

Thomas D. Nielsen

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Approximating Euclidean by Imprecise Markov Decision Processes.

[BibT_eX]

[DOI]

Giorgio Bacci

Giovanni Bacci

Peter Gjøl Jensen

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles, 2020

A Complete Characterization of Projectivity for Statistical Relational Models.

[BibT_eX]

[DOI]

Oliver Schulte

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

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

[BibT_eX]

[DOI]

Peter Gjøl Jensen

Axel Legay

Sean Sedwards

Jakob Haahr Taankvist

Proceedings of the Automated Technology for Verification and Analysis, 2019

2018

Probabilistic Logic and Relational Models.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

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

[BibT_eX]

[DOI]

Oliver Schulte

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018

2017

Cleansing indoor RFID tracking data.

[BibT_eX]

[DOI]

ACM SIGSPATIAL Special, 2017

A Network Architecture for Multi-Multi-Instance Learning.

[BibT_eX]

[DOI]

Paolo Frasconi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Learning deterministic probabilistic automata from a model checking perspective.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Learning-Based Cleansing for Indoor RFID Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Lower complexity bounds for lifted inference.

[BibT_eX]

[DOI]

Theory Pract. Log. Program., 2015

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

[BibT_eX]

[DOI]

Jiuchuan Jiang

CoRR, 2015

2014

Probabilistic Logic and Relational Models.

[BibT_eX]

[DOI]

Encyclopedia of Social Network Analysis and Mining, 2014

Continuity Properties of Distances for Markov Processes.

[BibT_eX]

[DOI]

Hua Mao

Radu Mardare

Proceedings of the Quantitative Evaluation of Systems - 11th International Conference, 2014

Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks.

[BibT_eX]

[DOI]

Jiuchuan Jiang

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Multiple Image Segmentation.

[BibT_eX]

[DOI]

Jonathan Smets

Proceedings of the Pattern Recognition Applications and Methods, 2014

Multiple Segmentation of Image Stacks.

[BibT_eX]

[DOI]

Jonathan Smets

Proceedings of the ICPRAM 2014, 2014

2013

Type Extension Trees for feature construction and learning in relational domains.

[BibT_eX]

[DOI]

Artif. Intell., 2013

Identifiability of Model Properties in Over-Parameterized Model Classes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Learning and Model-Checking Networks of I/O Automata.

[BibT_eX]

[DOI]

Hua Mao

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Learning Markov Decision Processes for Model Checking

[BibT_eX]

[DOI]

Proceedings of the Proceedings Quantities in Formal Methods, 2012

Liftability of Probabilistic Inference: Upper and Lower Bounds.

[BibT_eX]

[DOI]

Guy Van den Broeck

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Learning Markov Models for Stationary System Behaviors.

[BibT_eX]

[DOI]

Brian Nielsen

Proceedings of the NASA Formal Methods, 2012

2011

Relational information gain.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Learning Probabilistic Automata for Model Checking.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Quantitative Evaluation of Systems, 2011

Factorial Clustering with an Application to Plant Distribution Data.

[BibT_eX]

[DOI]

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

2010

Special Issue on PGM-2008.

[BibT_eX]

[DOI]

Thomas D. Nielsen

Int. J. Approx. Reason., 2010

Extending ProbLog with Continuous Distributions.

[BibT_eX]

[DOI]

Bernd Gutmann

Luc De Raedt

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

A Theory of Inductive Query Answering.

[BibT_eX]

[DOI]

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

On fairness and randomness.

[BibT_eX]

[DOI]

Inf. Comput., 2009

2008

Preface.

[BibT_eX]

[DOI]

Lise Getoor

Kristian Kersting

Ann. Math. Artif. Intell., 2008

Probabilistic-Logic Models: Reasoning and Learning with Relational Structures.

[BibT_eX]

[DOI]

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Model-Theoretic Expressivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Feature Discovery with Type Extension Trees.

[BibT_eX]

[DOI]

Paolo Frasconi

Andrea Passerini

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

2007

Comparative Evaluation of PL languages.

[BibT_eX]

[DOI]

Petr Lidman

Juan L. Mateo

Proceedings of the Mining and Learning with Graphs, 2007

Parameter learning for relational Bayesian networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

Probabilistic Role Models and the Guarded Fragment.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006

Learning probabilistic decision graphs.

[BibT_eX]

[DOI]

Jens Dalgaard Nielsen

Tomi Silander

Int. J. Approx. Reason., 2006

Compiling relational Bayesian networks for exact inference.

[BibT_eX]

[DOI]

Mark Chavira

Adnan Darwiche

Int. J. Approx. Reason., 2006

The AI&M Procedure for Learning from Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models.

[BibT_eX]

[DOI]

Jens Dalgaard Nielsen

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

On Testing the Missing at Random Assumption.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2006, 2006

2005

A Logic For Inductive Probabilistic Reasoning.

[BibT_eX]

[DOI]

Synth., 2005

Ignorability in Statistical and Probabilistic Inference.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2005

A representation theorem and applications to measure selection and noninformative priors.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2005

Importance Sampling on Relational Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

2004

Probabilistic Decision Graphs - Combining Verification And Ai Techniques For Probabilistic Inference.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

2003

Probabilistic Classifiers and the Concepts They Recognize.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

A Representation Theorem and Applications.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002

A Theory of Inductive Query Answering.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Automatic derivation of probabilistic inference rules.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2001

Complex Probabilistic Modeling with Recursive Relational Bayesian Networks.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2001

Constraints as Data: A New Perspective on Inferring Probabilities.

[BibT_eX]

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

On the complexity of inference about probabilistic relational models.

[BibT_eX]

[DOI]

Artif. Intell., 2000

1998

Measure Selection: Notions of Rationality and Representation Independence.

[BibT_eX]

[DOI]

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Convergence Results for Relational Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Annual IEEE Symposium on Logic in Computer Science, 1998

Reasoning About Infinite Random Structures with Relational Bayesian Networks.

[BibT_eX]

Proceedings of the Sixth International Conference on Principles of Knowledge Representation and Reasoning (KR'98), 1998

1997

Relational Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1996

Representation Independence of Nonmonotonic Inference Relations.

[BibT_eX]

Proceedings of the Fifth International Conference on Principles of Knowledge Representation and Reasoning (KR'96), 1996

1995

Default reasoning about probabilities.

[BibT_eX]

[DOI]

PhD thesis, 1995

Minimum Cross-Entropy Reasoning: A Statistical Justification.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

A Logic for Default Reasoning About Probabilities.

[BibT_eX]

[DOI]

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Probabilistic Reasoning in Terminological Logics.

[BibT_eX]

Proceedings of the 4th International Conference on Principles of Knowledge Representation and Reasoning (KR'94). Bonn, 1994

1993

Circumscription: Completeness Reviewed.

[BibT_eX]

[DOI]