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What Machine Learning Tells Us About the Mathematical Structure of Concepts
This paper examines the connections among various approaches to understanding concepts in philosophy, cognitive science, and machine learning, with a particular focus on their mathematical nature.
On the Equivalence of Causal Models: A Category-Theoretic Approach
We develop a category-theoretic criterion for determining the equivalence of causal models having different but homomorphic directed acyclic graphs over discrete variables.
Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library
We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research.
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