704 search results - page 99 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
133
Voted
IJON
1998
15 years 2 months ago
1998
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
145
Voted
CISS
2008
IEEE
15 years 9 months ago
2008
IEEE
— As evidenced by measurement data, channel fading and co-channel interference occur on the same time scales, and it is therefore difficult to determine if packet losses are due...
140
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NIPS
1998
15 years 4 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
109
Voted
ICCCN
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract—Traditional Dijkstra and Bellman-Ford routing algorithms can only provide the best route to each destination based on a fixed link cost model. We propose a utility-base...
153
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DMSN
2006
ACM
15 years 8 months ago
2006
ACM
In this paper, we study the problem of processing multiple queries in a wireless sensor network. We focus on multiquery optimization at the base station level to minimize the numb...