Manfred Jaeger

发表

Parameter learning for relational Bayesian networks

Manfred Jaeger, M. Jaeger, 2007, ICML '07.

Learning-Based Cleansing for Indoor RFID Data

Hua Lu, Torben Bach Pedersen, Xike Xie, 2016, SIGMOD Conference.

Probabilistic Reasoning in Terminological Logics

Manfred Jaeger, M. Jaeger, 1994, KR.

The AI&M Procedure for Learning from Incomplete Data pdf

Manfred Jaeger, 2006, UAI.

Default reasoning about probabilities

Manfred Jaeger, M. Jaeger, 1995 .

Learning and Model-Checking Networks of I/O Automata

Manfred Jaeger, Hua Mao, M. Jaeger, 2012, ACML.

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

Andrea Passerini, Manfred Jaeger, Marco Lippi, 2019, Data Mining and Knowledge Discovery.

Cleansing indoor RFID tracking data

Hua Lu, Torben Bach Pedersen, Manfred Jaeger, 2017, SIGSPACIAL.

On Testing the Missing at Random Assumption

Manfred Jaeger, 2006, ECML.

Comparative Evaluation of PL languages

Juan L. Mateo, Manfred Jaeger, Petr Lidman, 2007, MLG.

Type Extension Trees for feature construction and learning in relational domains

Paolo Frasconi, Andrea Passerini, Manfred Jaeger, 2013, Artif. Intell..

Representation Independence of Nonmonotonic Inference Relations

Manfred Jaeger, M. Jaeger, 1996, KR.

A Representation Theorem and Applications

Manfred Jaeger, M. Jaeger, 2003, ECSQARU.

Learning and Interpreting Multi-Multi-Instance Learning Networks

Paolo Frasconi, Manfred Jaeger, Alessandro Tibo, 2020, J. Mach. Learn. Res..

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

Manfred Jaeger, Oliver Schulte, M. Jaeger, 2018, ArXiv.

Measure Selection: Notions of Rationality and Representation Independence

Manfred Jaeger, 1998, UAI.

Circumscription: Completeness Reviewed

Manfred Jaeger, 1993, Artif. Intell..

Extending ProbLog with Continuous Distributions

Luc De Raedt, Manfred Jaeger, Bernd Gutmann, 2010, ILP.

Learning deterministic probabilistic automata from a model checking perspective

Kim G. Larsen, Brian Nielsen, Yingke Chen, 2016, Machine Learning.

Reasoning About Infinite Random Structures with Relational Bayesian Networks

Manfred Jaeger, M. Jaeger, 1998, KR.

Importance Sampling on Relational Bayesian Networks

Manfred Jaeger, 2005, Probabilistic, Logical and Relational Learning.

A representation theorem and applications to measure selection and noninformative priors

Manfred Jaeger, M. Jaeger, 2005, Int. J. Approx. Reason..

A Logic For Inductive Probabilistic Reasoning

Manfred Jaeger, M. Jaeger, 2005, Synthese.

Compiling relational Bayesian networks for exact inference - eScholarship

Manfred Jaeger, Adnan Darwiche, M D Chavira, 2006 .

Learning Probabilistic Automata for Model Checking

Kim G. Larsen, Brian Nielsen, Yingke Chen, 2011, 2011 Eighth International Conference on Quantitative Evaluation of SysTems.

Feature Discovery with Type Extension Trees

Paolo Frasconi, Andrea Passerini, Manfred Jaeger, 2008, ILP.

Probabilistic Role Models and the Guarded Fragment

Manfred Jaeger, M. Jaeger, 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Automatic derivation of probabilistic inference rules

Manfred Jaeger, M. Jaeger, 2001, Int. J. Approx. Reason..

Data Mining as Selective Theory Extraction in Probabilistic Logic

Heikki Mannila, Manfred Jaeger, Emil Weydert, 1996 .

Identifiability of Model Properties in Over-Parameterized Model Classes

Manfred Jaeger, M. Jaeger, 2013, ECML/PKDD.

A probabilistic extension of terminological logics

Manfred Jaeger, M. Jaeger, 1994 .

Factorial Clustering with an Application to Plant Distribution Data

Manfred Jaeger, Thomas Wohlgemuth, Simon Lyager, 2011, MultiClust@ECML/PKDD.

Compiling relational Bayesian networks for exact inference

Manfred Jaeger, Adnan Darwiche, Mark Chavira, 2006, Int. J. Approx. Reason..

Probabilistic Logic and Relational Models

Manfred Jaeger, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Probabilistic Classifiers and the Concepts They Recognize

Manfred Jaeger, M. Jaeger, 2003, ICML.

A Theory of Inductive Query Answering

Luc De Raedt, Heikki Mannila, Manfred Jaeger, 2010, Inductive Databases and Constraint-Based Data Mining.

Automatic Anomaly Detection for Sewage Network Sensors

Manfred Jaeger, Thomas D. Nielsen, Alessandro Tibo, 2020 .

Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks

Manfred Jaeger, Jiuchuan Jiang, M. Jaeger, 2014, ISMIS.

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

Manfred Jaeger, M. Jaeger, 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Multiple Segmentation of Image Stacks

Manfred Jaeger, Jonathan Smets, M. Jaeger, 2014, ICPRAM.

Continuity Properties of Distances for Markov Processes

Kim G. Larsen, Manfred Jaeger, Radu Mardare, 2014, QEST.

A theory of inductive query answering

Luc De Raedt, Heikki Mannila, Manfred Jaeger, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

A Logic for Default Reasoning About Probabilities pdf

Manfred Jaeger, M. Jaeger, 1994, UAI.

Battery system comprising at least one battery cell and a battery case

Manfred Jaeger, Christian Pankiewitz, Jens Boehme, 2013 .

Expressivity Analysis for PL-Languages

Luc De Raedt, Kristian Kersting, Manfred Jaeger, 2006 .

Multiple Image Segmentation

Manfred Jaeger, Jonathan Smets, M. Jaeger, 2014, ICPRAM.

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

Manfred Jaeger, Jiuchuan Jiang, M. Jaeger, 2015, ArXiv.

Probabilistic Logic and Relational Models

Manfred Jaeger, M. Jaeger, 2014, Encyclopedia of Social Network Analysis and Mining.

Description Logics for Natural Language Processing

Christoph Weidenbach, Manfred Jaeger, Ullrich Hustadt, 1994 .

Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)

Manfred Jaeger, M. Jaeger, 2007, ICML 2007.

Learning Aggregation Functions pdf

Paolo Frasconi, Manfred Jaeger, Andrea Passerini, 2020, ArXiv.

Learning Markov Decision Processes for Model Checking

Kim G. Larsen, Brian Nielsen, Yingke Chen, 2012, QFM.

Lower complexity bounds for lifted inference pdf

Manfred Jaeger, 2015, Theory Pract. Log. Program..

Special Issue on PGM-2008

Manfred Jaeger, Thomas D. Nielsen, M. Jaeger, 2010, Int. J. Approx. Reason..

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

Stefan Schmid, Manfred Jaeger, Liron Schiff, 2018, Big-DAMA@SIGCOMM.

Cooperating Physical Robots and Robotic Football

Vicent J. Botti, Bernhard Nebel, Jana Koehler, 2002 .

An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models

Manfred Jaeger, Jens Dalgaard Nielsen, 2006, Probabilistic Graphical Models.

Relational information gain

Paolo Frasconi, Andrea Passerini, Manfred Jaeger, 2011, Machine Learning.

Convergence results for relational Bayesian networks

Manfred Jaeger, M. Jaeger, 1998, Proceedings. Thirteenth Annual IEEE Symposium on Logic in Computer Science (Cat. No.98CB36226).

Constraints as Data: A New Perspective on Inferring Probabilities

Manfred Jaeger, 2001, IJCAI.

Learning Markov Models for Stationary System Behaviors

Kim G. Larsen, Brian Nielsen, Yingke Chen, 2012, NASA Formal Methods.

On fairness and randomness

Manfred Jaeger, 2009, Inf. Comput..

Probabilistic-Logic Models: Reasoning and Learning with Relational Structures

Manfred Jaeger, M. Jaeger, 2008, SCAI.

On the complexity of inference about probabilistic relational models

Manfred Jaeger, M. Jaeger, 2000, Artif. Intell..

Online Proceedings of the Workshop on Statistical Relational Learning (SRL-06)

Luc De Raedt, Kristian Kersting, Manfred Jaeger, 2006 .

Complex Probabilistic Modeling with Recursive Relational Bayesian Networks

Manfred Jaeger, M. Jaeger, 2001, Annals of Mathematics and Artificial Intelligence.

Fairness, Computable Fairness and Randomness

Manfred Jaeger, 1999 .

Minimum Cross-Entropy Reasoning: A Statistical Justification

Manfred Jaeger, M. Jaeger, 1995, IJCAI.

Learning probabilistic decision graphs

Manfred Jaeger, Tomi Silander, Jens Dalgaard Nielsen, 2006, Int. J. Approx. Reason..

Relational Bayesian Networks

Manfred Jaeger, M. Jaeger, 1997, UAI.

A Network Architecture for Multi-Multi-Instance Learning

Paolo Frasconi, Manfred Jaeger, Alessandro Tibo, 2017, ECML/PKDD.

Model-Theoretic Expressivity Analysis

Manfred Jaeger, M. Jaeger, 2008, Probabilistic Inductive Logic Programming.

Learning Aggregation Functions

Paolo Frasconi, Manfred Jaeger, Andrea Passerini, 2021, IJCAI.

Encyclopedia of Social Network Analysis and Mining

Manfred Jaeger, M. Jaeger, 2014 .

Type Extension Trees : a Unified Framework for Relational Feature Construction

Manfred Jaeger, M. Jaeger, 2006 .