3 papers
cs.DB2024
SCHENO: Measuring Schema vs. Noise in Graphs
Justus Isaiah Hibshman, Adnan Hoq, Tim Weninger
Real-world data is typically a noisy manifestation of a core pattern (schema), and the purpose of data mining algorithms is to uncover that pattern, thereby splitting (i.e. decompo…
cs.LG2023
Dynamic Vertex Replacement Grammars
Daniel Gonzalez Cedre, Justus Isaiah Hibshman, Timothy La Fond +2
Context-free graph grammars have shown a remarkable ability to model structures in real-world relational data. However, graph grammars lack the ability to capture time-changing phe…
math.ST2021
Higher Order Imprecise Probabilities and Statistical Testing
Justus Hibshman, Tim Weninger
We generalize standard credal set models for imprecise probabilities to include higher order credal sets -- confidences about confidences. In doing so, we specify how an agent's hi…