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» Exploiting Data Missingness in Bayesian Network Modeling
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156
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MONET
2006
173views more  MONET 2006»
15 years 2 months ago
Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks
We analyze an architecture based on mobility to address the problem of energy efficient data collection in a sensor network. Our approach exploits mobile nodes present in the senso...
Sushant Jain, Rahul Shah, Waylon Brunette, Gaetano...
115
Voted
BMVC
2000
15 years 3 months ago
Resolving Visual Uncertainty and Occlusion through Probabilistic Reasoning
Tracking interacting human body parts from a single two-dimensional view is difficult due to occlusion, ambiguity and spatio-temporal discontinuities. We present a Bayesian networ...
Jamie Sherrah, Shaogang Gong
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 7 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
124
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AAAI
1998
15 years 3 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
136
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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 2 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos