Jaeger, Manfred - Institut for Datalogi & Department of Computer Science, Aalborg University

• To appear in Proc. of LICS-98 1 Convergence Results for Relational Bayesian Networks
• Parameter Learning for Relational Bayesian Networks Manfred Jaeger jaeger@cs.aau.dk
• Capita Selecta AI -Entity Relationship Model -Part 2 Daan Fierens
• Probabilistic-Logic Models: Reasoning and Learning with Relational Structures
• Feature Discovery with Type Extension Trees Paolo Frasconi2
• In Int. J. of Uncertainty, Fuzziness and K.-B. Sys., vol.12, pp.19-42 (2004) 1 Probabilistic Decision Graphs Combining
• Automatic Derivation of Probabilistic Inference Rules Manfred Jaeger
• To appear in The Annals of Statistics 1 Ignorability for categorical data
• Model-Theoretic Expressivity Analysis Manfred Jaeger
• Comparative Evaluation of PL Languages and Systems a Work-in-Progress Report
• Type Extension Trees: a Unified Framework for Relational Feature Construction
• On Testing the Missing at Random Assumption Manfred Jaeger
• In Proceedings of UAI-06 1 The AI&M Procedure for Learning from Incomplete Data
• Compiling Relational Bayesian Networks for Exact Inference Mark Chavira, Adnan Darwiche
• Probabilistic Role Models and the Guarded Fragment Manfred Jaeger
• Probabilistic Classifiers and the Concepts they Recognize Manfred Jaeger JAEGER@MPI-SB.MPG.DE
• To appear in Proceedings of ECSQARU 2003 1 A Representation Theorem and Applications
• To appear in Proc. of UAI-98 1 Measure Selection: Notions of Rationality and Representation Independence
• Data Mining as Selective Theory Extraction in Probabilistic Logic Manfred Jaeger Heikki Mannila Emil Weydert
• In: Proceedings of KR-94 1 Probabilistic Reasoning in Terminological Logics
• To appear in The Annals of Statistics 1 Ignorability for categorical data
• Capita Selecta AI -Entity Relationship Model Daan Fierens
• A Representation Theorem and Applications to Measure Selection
• To appear in Proc. of KR-98 1 Reasoning About Infinite Random Structures with Relational Bayesian
• Learning Probabilistic Decision Graphs Manfred Jaeger a
• Probabilistic Decision Graphs Combining Verification and AI Techniques for Probabilistic Inference
• Learning Probabilistic Decision Graphs Manfred Jaeger Jens D. Nielsen
• In: Proceedings of UAI-94 1 A Logic for Default Reasoning About Probabilities
• To appear in Proc. KR-96 1 Representation Independence of Nonmonotonic Inference Relations
• A Logic for Inductive Probabilistic Reasoning Manfred Jaeger
• In Proceedings of ICDM'02 1 A Theory of Inductive Query Answering
• Default Reasoning about Probabilities
• The Primula System: user's guide Version 2.2
• Relational Bayesian Networks Manfred Jaeger
• To appear in Proc. of IJCAI-95 1 Minimum Cross-Entropy Reasoning: A Statistical Justi cation
• An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Jens Dalgaard Nielsen and Manfred Jaeger
• To appear in Proc. of IJCAI-01 1 Constraints as Data: A New Perspective on Inferring Probabilities
• Learning Probabilistic Decision Graphs Manfred Jaeger Jens D. Nielsen
• On Fairness and Randomness Manfred Jaeger
• A Representation Theorem and Applications to Measure
• Factorial Clustering with an Application to Plant Distribution Data