
A Probabilistic Approach for Predicting Landslides by Learning a SelfAligned Deep Convolutional Model
Landslides are movement of soil and rock under the influence of gravity....
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Structure Learning for Relational Logistic Regression: An Ensemble Approach
We consider the problem of learning Relational Logistic Regression (RLR)...
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Domain Recursion for Lifted Inference with Existential Quantifiers
In recent work, we proved that the domain recursion inference rule makes...
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Comparing Aggregators for Relational Probabilistic Models
Relational probabilistic models have the challenge of aggregation, where...
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Why is Compiling Lifted Inference into a LowLevel Language so Effective?
Firstorder knowledge compilation techniques have proven efficient for l...
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New Liftable Classes for FirstOrder Probabilistic Inference
Statistical relational models provide compact encodings of probabilistic...
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A Learning Algorithm for Relational Logistic Regression: Preliminary Results
Relational logistic regression (RLR) is a representation of conditional ...
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Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994)
This is the Proceedings of the Tenth Conference on Uncertainty in Artifi...
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Towards Completely Lifted Searchbased Probabilistic Inference
The promise of lifted probabilistic inference is to carry out probabilis...
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RelNN: A Deep Neural Model for Relational Learning
Statistical relational AI (StarAI) aims at reasoning and learning in noi...
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SimplE Embedding for Link Prediction in Knowledge Graphs
The aim of knowledge graphs is to gather knowledge about the world and p...
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Improved Knowledge Graph Embedding using Background Taxonomic Information
Knowledge graphs are used to represent relational information in terms o...
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Record Linkage to Match Customer Names: A Probabilistic Approach
Consider the following problem: given a database of records indexed by n...
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Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations
Knowledge graphs store facts using relations between pairs of entities. ...
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David Poole
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