Search Results for author:
Found 4 papers, 0 papers with code
FactorBase: SQL for Learning A Multi-Relational Graphical Model
A multi-relational statistical model provides an integrated analysis of the heterogeneous and interdependent data resources in the database.
SQL for SRL: Structure Learning Inside a Database System
To support our position, we have developed the FACTORBASE system, which uses SQL as a high-level scripting language for statistical-relational learning of a graphical model structure.
Fast Learning of Relational Dependency Networks
We describe an approach for learning both the RDN's structure and its parameters, given an input relational database: First learn a Bayesian network (BN), then transform the Bayesian network to an RDN.
Computing Multi-Relational Sufficient Statistics for Large Databases
With a naive enumeration approach, computing sufficient statistics for negative relationships is feasible only for small databases.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
