no code implementations • NeurIPS 2018 • Rico Angell, Daniel R. Sheldon
Archived data from the US network of weather radars hold detailed information about bird migration over the last 25 years, including very high-resolution partial measurements of velocity.
no code implementations • NeurIPS 2016 • Kevin Winner, Daniel R. Sheldon
We present the first exact inference algorithms for a class of models with latent count variables by developing a novel representation of countably infinite factors as probability generating functions, and then performing variable elimination with generating functions.
no code implementations • NeurIPS 2014 • Xiaojian Wu, Daniel R. Sheldon, Shlomo Zilberstein
We investigate the problem of stochastic network design in bidirected trees.
no code implementations • NeurIPS 2011 • Daniel R. Sheldon, Thomas G. Dietterich
This paper introduces Collective Graphical Models---a framework for modeling and probabilistic inference that operates directly on the sufficient statistics of the individual model.