
Structure Learning for Relational Logistic Regression: An Ensemble Approach
We consider the problem of learning Relational Logistic Regression (RLR)...
read it

Comparing Aggregators for Relational Probabilistic Models
Relational probabilistic models have the challenge of aggregation, where...
read it

A Learning Algorithm for Relational Logistic Regression: Preliminary Results
Relational logistic regression (RLR) is a representation of conditional ...
read it

Improved Knowledge Graph Embedding using Background Taxonomic Information
Knowledge graphs are used to represent relational information in terms o...
read it

Record Linkage to Match Customer Names: A Probabilistic Approach
Consider the following problem: given a database of records indexed by n...
read it

Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations
Knowledge graphs store facts using relations between pairs of entities. ...
read it
Bahare Fatemi
is this you? claim profile