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PPSN
2004
Springer
16 years 1 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
211
Voted
ESANN
2007
15 years 9 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
TMC
2010
108views more  TMC 2010»
15 years 6 months ago
Radio Tomographic Imaging with Wireless Networks
—Radio Tomographic Imaging (RTI) is an emerging technology for imaging passive objects (objects that do not carry a transmitting device) with wireless networks. This paper presen...
Joey Wilson, Neal Patwari
ICSNC
2007
IEEE
16 years 2 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
225
Voted
LCN
2007
IEEE
16 years 1 months ago
Node Connectivity in Vehicular Ad Hoc Networks with Structured Mobility
1 Vehicular Ad hoc NETworks (VANETs) is a subclass of Mobile Ad hoc NETworks (MANETs). However, automotive ad hoc networks will behave in fundamentally different ways than the pred...
Ivan Wang Hei Ho, Kin K. Leung, John W. Polak, Rah...