889 search results - page 38 / 178 » Observational Learning in Random Networks |
117
Voted
SAC
2008
ACM
14 years 12 months ago
2008
ACM
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 ...
CORR
2006
Springer
15 years 15 days ago
2006
Springer
The study of networked systems is an emerging field, impacting almost every area of engineering and science, including the important domains of communication systems, biology, soc...
92
Voted
CAAN
2004
Springer
15 years 5 months ago
2004
Springer
It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have ...
UAI
2001
15 years 1 months ago
2001
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
92
Voted
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...