This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Traditional circuit design focuses on optimizing the static critical paths no matter how infrequently these paths are exercised dynamically. Circuit optimization is then tuned to ...
Online trading invariably involves dealings between strangers, so it is important for one party to be able to judge objectively the trustworthiness of the other. In such a setting,...
We study the calibration problem in circular ultrasound tomography devices for breast imaging, where the sensor positions deviate from the circumference of a perfect circle. We in...
Reza Parhizkar, Amin Karbasi, Sewoong Oh, Martin V...