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» Exploiting Data Missingness in Bayesian Network Modeling
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MONET
2006
173views more  MONET 2006»
14 years 11 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...
BMVC
2000
15 years 8 days 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
89
Voted
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 3 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...
AAAI
1998
15 years 8 days 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
95
Voted
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
15 years 11 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