Sciweavers

UAI
2000
13 years 6 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
UAI
2000
13 years 6 months ago
Being Bayesian about Network Structure
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
Nir Friedman, Daphne Koller
UAI
2000
13 years 6 months ago
Likelihood Computations Using Value Abstraction
Nir Friedman, Dan Geiger, Noam Lotner
UAI
2000
13 years 6 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
UAI
2000
13 years 6 months ago
A Two-Round Variant of EM for Gaussian Mixtures
We show that, given data from a mixture of
Sanjoy Dasgupta, Leonard J. Schulman
UAI
2000
13 years 6 months ago
Experiments with Random Projection
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gaussians. Here we summarize these results and ...
Sanjoy Dasgupta
UAI
2000
13 years 6 months ago
A Decision Theoretic Approach to Targeted Advertising
A simple advertising strategy that can be used to help increase sales of a product is to mail out special o ers to selected potential customers. Because there is a cost associated...
David Maxwell Chickering, David Heckerman
UAI
2000
13 years 6 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller