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» Combining Simple Models to Approximate Complex Dynamics
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ICDE
2006
IEEE
201views Database» more  ICDE 2006»
15 years 11 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
15 years 4 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
15 years 3 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
14 years 11 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»
14 years 9 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...