41 results on '"Statistical relational learning"'
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2. Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains
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
9. Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic
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
14. Statistical Relational Learning
15. Learning Efficiently in Semantic Based Regularization
16. Processing Markov Logic Networks with GPUs: Accelerating Network Grounding
17. Evaluating and Extending Latent Methods for Link-Based Classification
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
31. Statistical Relational Learning
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
36. Beyond Prediction: Directions for Probabilistic and Relational Learning
37. Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
38. A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks
39. Learning with Concept Hierarchies in Probabilistic Relational Data Mining
40. Statistical Relational Learning
41. Probabilistic Logic Learning - A Tutorial Abstract
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