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CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 3 months ago
Continuous motion planning for information forecast
— This paper addresses planning of continuous paths for mobile sensors to improve long-term forecast performance. With the information gain defined by the mutual information bet...
Han-Lim Choi, Jonathan P. How
NN
2006
Springer
114views Neural Networks» more  NN 2006»
14 years 9 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
FLAIRS
2004
14 years 10 months ago
Mining Bayesian Networks to Forecast Adverse Outcomes Related to Acute Coronary Syndrome
One fascinating aspect of tool building for datamining is the application of a generalized datamining tool to a specific domain. Often times, this process results in a cross disci...
Andy Novobilski, Francis M. Fesmire, David Sonnema...
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
15 years 2 months ago
The application of antigenic search techniques to time series forecasting
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
Ian Nunn, Tony White
ICCS
2005
Springer
15 years 2 months ago
Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
Lean Yu, Shouyang Wang, Kin Keung Lai