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EWSN
2010
Springer
15 years 4 months ago
An Adaptive Strategy for Energy-Efficient Data Collection in Sparse Wireless Sensor Networks
Sparse wireless sensor networks (WSNs) are being effectively used in several applications, which include transportation, urban safety, environment monitoring, and many others. Sens...
Mario Di Francesco, Kunal Shah, Mohan Kumar, Giuse...
UAI
1996
15 years 2 months ago
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
David Maxwell Chickering, David Heckerman
JSAC
2006
120views more  JSAC 2006»
15 years 21 days ago
A Tutorial on Cross-Layer Optimization in Wireless Networks
This tutorial paper overviews recent developments in optimization-based approaches for resource allocation problems in wireless systems. We begin by overviewing important results i...
Xiaojun Lin, Ness B. Shroff, R. Srikant
85
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NCA
2008
IEEE
15 years 20 days ago
A Bradley-Terry artificial neural network model for individual ratings in group competitions
A common statistical model for paired comparisons is the Bradley-Terry model. This research re-parameterizes the Bradley-Terry model as a single-layer artificial neural network (A...
Joshua E. Menke, Tony R. Martinez
NECO
2008
170views more  NECO 2008»
15 years 20 days ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio