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» Randomness, Stochasticity and Approximations
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UAI
2004
13 years 11 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
GRAPHICSINTERFACE
1997
13 years 11 months ago
An Interactive Fur Modeling Technique
A technique for modeling fur, but not long human hair, quickly, using the facilitiesof common graphics workstations is described. The user selects a variety of parameters to achie...
Allen Van Gelder, Jane Wilhelms
ATAL
2010
Springer
13 years 11 months ago
A graph-theoretic approach to protect static and moving targets from adversaries
The static asset protection problem (SAP) in a road network is that of allocating resources to protect vertices, given any possible behavior by an adversary determined to attack t...
John P. Dickerson, Gerardo I. Simari, V. S. Subrah...
MM
2010
ACM
140views Multimedia» more  MM 2010»
13 years 10 months ago
Enriching audio-visual chat with conversation-based image retrieval and display
This paper presents the results of a user study carried out to evaluate an application prototype in which an audio-visual chat conversation between two users is augmented by pictu...
Jeroen Vanattenhoven, Christof van Nimwegen, Matth...
ANOR
2010
77views more  ANOR 2010»
13 years 10 months ago
Time-dependent analysis for refused admissions in clinical wards
For capacity planning issues in health care, such as the allocation of hospital beds, the admissions rate of patients is commonly assumed to be constant over time. In addition to ...
René Bekker, A. M. de Bruin