This is a preview. Log in through your library . Abstract This paper proposes a tractable model of Bayesian learning on large random networks where agents choose whether to adopt an innovation. We ...

This is a preview. Log in through your library . Abstract To improve operational efficiencies while providing state of the art healthcare services, hospitals rely on information technology enabled ...

Okazaki, Japan – When we learn a motor pattern such as a new sport or dance, movements that were not possible at the beginning can be memorized and made easy through practice. It has been widely ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation I study the implications of productivity shocks in a model where agents observe the aggregate level of productivity but not ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Harvey, Jean-François, Johnathan R. Cromwell, Kevin J. Johnson, and Amy C. Edmondson. "The Dynamics of Team Learning: Harmony and Rhythm in Teamwork Arrangements for Innovation." Administrative ...

Researchers have demonstrated that new distance-based machine learning methods are capable of predicting structures and atomic dynamics of nanoparticles reliably. The new methods are significantly ...