research
∙
03/28/2022
Using Domain Knowledge for Low Resource Named Entity Recognition
In recent years, named entity recognition has always been a popular rese...
share
research
∙
02/13/2022
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data
Using data from cardiovascular surgery patients with long and highly var...
research
∙
04/15/2014
Sparse Compositional Metric Learning
We propose a new approach for metric learning by framing it as learning ...
research
∙
06/27/2012
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
We study the problem of unsupervised domain adaptation, which aims to ad...
research
∙
09/19/2011