49 citations · 111 across the 20 of their papers we have counts for
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Improved Knowledge Graph Embedding using Background Taxonomic Information
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
Knowledge graphs are used to represent relational information in terms of triples. To enable learning about domains, embedding models, such as tensor factorization models, can be u…
Structure Learning for Relational Logistic Regression: An Ensemble Approach
Nandini Ramanan, Gautam Kunapuli, Tushar Khot +5
We consider the problem of learning Relational Logistic Regression (RLR). Unlike standard logistic regression, the features of RLRs are first-order formulae with associated weight…
Record Linkage to Match Customer Names: A Probabilistic Approach
Bahare Fatemi, Seyed Mehran Kazemi, David Poole
Consider the following problem: given a database of records indexed by names (e.g., name of companies, restaurants, businesses, or universities) and a new name, determine whether t…