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UAI
2000
14 years 1 months ago
Likelihood Computations Using Value Abstraction
Nir Friedman, Dan Geiger, Noam Lotner
UAI
2000
14 years 1 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
14 years 1 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
14 years 1 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
14 years 1 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
14 years 1 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
UAI
2000
14 years 1 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
UAI
2000
14 years 1 months ago
Approximately Optimal Monitoring of Plan Preconditions
Monitoring plan preconditions can allow for replanning when a precondition fails, generally far in advance of the point in the plan where the precondition is relevant. However, mo...
Craig Boutilier