166 citations · 1.4k across the 47 of their papers we have counts for
4 papers · 1 filter
On Triangulating Dynamic Graphical Models
Jeff A. Bilmes, Chris Bartels
This paper introduces new methodology to triangulate dynamic Bayesian networks (DBNs) and dynamic graphical models (DGMs). While most methods to triangulate such networks use some…
Recognizing Activities and Spatial Context Using Wearable Sensors
Amarnag Subramanya, Alvin Raj, Jeff A. Bilmes +1
We introduce a new dynamic model with the capability of recognizing both activities that an individual is performing as well as where that ndividual is located. Our model is novel…
Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models
Chris Bartels, Jeff A. Bilmes
We observe that certain large-clique graph triangulations can be useful to reduce both computational and space requirements when making queries on mixed stochastic/deterministic gr…
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
Jeff Bilmes, Andrew Ng
This is the Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Montreal, QC, Canada, June 18 - 21 2009.