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3. Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning

4. Statistical Relational Structure Learning with Scaled Weight Parameters

5. Statistical Relational Extension of Answer Set Programming

6. Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem

7. Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity

8. Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits

10. An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities

11. Generating Random Logic Programs Using Constraint Programming

12. Linguistic Feature Representation with Statistical Relational Learning for Readability Assessment

13. Declarative Aspects in Explicative Data Mining for Computational Sensemaking

15. Learning Efficiently in Semantic Based Regularization

16. Processing Markov Logic Networks with GPUs: Accelerating Network Grounding

18. The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions

19. Extending Datalog Intelligence

20. Graph Based Relational Features for Collective Classification

21. Distributional Clauses Particle Filter

22. Inhibited Effects in CP-Logic

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

24. Robot Reasoning Using First Order Bayesian Networks

25. Multi-Relational Learning for Recommendation of Matches between Semantic Structures

26. A System for the Use of Answer Set Programming in Reinforcement Learning

27. Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection

28. Learning the Structure of Probabilistic Logic Programs

29. Gaussian Logic for Predictive Classification

30. Logic, Probability and Computation: Foundations and Issues of Statistical Relational AI

32. Probabilistic Declarative Process Mining

33. Social Network Mining with Nonparametric Relational Models

34. Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study

35. Leveraging Higher Order Dependencies between Features for Text Classification

41. Probabilistic Logic Learning - A Tutorial Abstract

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