Introduction: Large-scale electronic health record(EHR) datasets often
i...
We present an algorithm, Decision-Directed Data Decomposition, which
dec...
We develop and evaluate tolerance interval methods for dynamic treatment...
When faced with a supervised learning problem, we hope to have rich enou...
We present a comprehensive study of the use of generative modeling appro...
Frequently, acquiring training data has an associated cost. We consider ...
Dynamic treatment regimes operationalize the clinical decision process a...
Classical learning assumes the learner is given a labeled data sample, f...