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» Combining Simple Models to Approximate Complex Dynamics
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ICDE
2006
IEEE
201views Database» more  ICDE 2006»
14 years 9 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
ATAL
2009
Springer
14 years 2 months ago
Boolean combinations of weighted voting games
Weighted voting games are a natural and practically important class of simple coalitional games, in which each agent is assigned a numeric weight, and a coalition is deemed to be ...
Piotr Faliszewski, Edith Elkind, Michael Wooldridg...
ICANN
2005
Springer
14 years 1 months ago
Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
Antti Sorjamaa, Jin Hao, Amaury Lendasse
MIC
2003
13 years 9 months ago
Modelling Salt Transport in Baltic Basins
Water quality models combine fluid-flow relations with biological regressions, all on a spatially complex domain. For many applications, a computationally simple lumped paramete...
Magnus Dahl, David I. Wilson
CORR
2004
Springer
117views Education» more  CORR 2004»
13 years 7 months ago
Traffic-driven model of the World Wide Web graph
We propose a model for the World Wide Web graph that couples the topological growth with the traffic's dynamical evolution. The model is based on a simple traffic-driven dynam...
Alain Barrat, Marc Barthelemy, Alessandro Vespigna...