66 citations · 178 across the 13 of their papers we have counts for
4 papers · 1 filter
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
Dianbo Liu, Timothy Miller, Raheel Sayeed +1
Electronic health record (EHR) data is collected by individual institutions and often stored across locations in silos. Getting access to these data is difficult and slow due to se…
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction
Lifeng Jin, Finale Doshi-Velez, Timothy Miller +2
There have been several recent attempts to improve the accuracy of grammar induction systems by bounding the recursive complexity of the induction model (Ponvert et al., 2011; Noji…
Learning Patient Representations from Text
Dmitriy Dligach, Timothy Miller
Mining electronic health records for patients who satisfy a set of predefined criteria is known in medical informatics as phenotyping. Phenotyping has numerous applications such as…
Unsupervised Grammar Induction with Depth-bounded PCFG
Lifeng Jin, Finale Doshi-Velez, Timothy Miller +2
There has been recent interest in applying cognitively or empirically motivated bounds on recursion depth to limit the search space of grammar induction models (Ponvert et al., 201…