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IPSN
2004
Springer
15 years 3 months ago
Distributed particle filters for sensor networks
Abstract. This paper describes two methodologies for performing distributed particle filtering in a sensor network. It considers the scenario in which a set of sensor nodes make m...
Mark Coates
IJCSA
2007
100views more  IJCSA 2007»
14 years 9 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
TNN
2008
177views more  TNN 2008»
14 years 9 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
ISCI
2007
115views more  ISCI 2007»
14 years 9 months ago
Compressed histograms with arbitrary bucket layouts for selectivity estimation
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...
Dennis Fuchs, Zhen He, Byung Suk Lee
76
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CORR
2008
Springer
128views Education» more  CORR 2008»
14 years 9 months ago
Electricity Demand and Energy Consumption Management System
This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composted of an hourly demand-forecastin...
Juan Ojeda Sarmiento