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SAC
2008
ACM
14 years 9 months ago
Error estimation in wireless sensor networks
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
Alejandro César Frery, Heitor Ramos, Jos&ea...
77
Voted
HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
15 years 3 months ago
Decision Support in Health Care via Root Evidence Sampling
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Benjamin B. Perry, Eli Faulkner
INFORMS
1998
142views more  INFORMS 1998»
14 years 9 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
UAI
1997
14 years 10 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
TIP
2008
95views more  TIP 2008»
14 years 9 months ago
Optimization of Packetization Masks for Image Coding Based on an Objective Cost Function for Desired Packet Spreading
In image communication over lossy packet networks (e.g., cell phone communication) packet loss errors lead to damaged images. Damaged images can be repaired with passive error conc...
Joost Rombaut, Aleksandra Pizurica, Wilfried Phili...