AIMC Topic: Empirical Research

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Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

Epidemiology (Cambridge, Mass.)
The use of retrospective health care claims datasets is frequently criticized for the lack of complete information on potential confounders. Utilizing patient's health status-related information from claims datasets as surrogates or proxies for misme...

Reinforcement learning improves behaviour from evaluative feedback.

Nature
Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make behavioural decisions. It has been called the artificial in...