119 citations · 284 across the 4 of their papers we have counts for
4 papers
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
Daphne Koller, Uri Lerner, Dragomir Anguelov
The clique tree algorithm is the standard method for doing inference in Bayesian networks. It works by manipulating clique potentials - distributions over the variables in a clique…
Exact Inference in Networks with Discrete Children of Continuous Parents
Uri Lerner, Eran Segal, Daphne Koller
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks. Animportant subclass of hybrid BNs are conditional lin…
Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms
Uri Lerner, Ron Parr
An important subclass of hybrid Bayesian networks are those that represent Conditional Linear Gaussian (CLG) distributions --- a distribution with a multivariate Gaussian component…
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net
Uri Lerner, Brooks Moses, Maricia Scott +2
The Reverse Water Gas Shift system (RWGS) is a complex physical system designed to produce oxygen from the carbon dioxide atmosphere on Mars. If sent to Mars, it would operate with…