Machine-learning

Inductive Process Modeling

Developing approaches for learning models of nonlinear, dynamic systems from time-series data.

Integrated Systems for Inducing Spatio-temporal Process Models

Integrated Systems for Inducing Spatio-temporal Process Models

The Induction and Transfer of Declarative Bias

Processes and Constraints in Scientific Model Construction

Extracting Constraints for Process Modeling

Learning Declarative Bias

Learning Process Models with Missing Data

Reducing Overfitting in Process Model Induction

Inducing Hierarchical Process Models in Dynamic Domains