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» Dynamic Factor Graphs for Time Series Modeling
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JDCTA
2010
155views more  JDCTA 2010»
13 years 3 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
ECML
2006
Springer
14 years 11 days ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
CSDA
2008
77views more  CSDA 2008»
13 years 8 months ago
Maximizing equity market sector predictability in a Bayesian time-varying parameter model
A large body of evidence has emerged in recent studies confirming that macroeconomic factors play an important role in determining investor risk premia and the ultimate path of eq...
Lorne D. Johnson, Georgios Sakoulis
ATAL
2008
Springer
13 years 10 months ago
Individual differences in expressive response: a challenge for ECA design
To create realistic and expressive virtual humans, we need to develop better models of the processes and dynamics of human emotions and expressions. A first step in this effort is...
Ning Wang, Stacy Marsella, Tim Hawkins
WADS
2001
Springer
182views Algorithms» more  WADS 2001»
14 years 1 months ago
On the Complexity of Scheduling Conditional Real-Time Code
Abstract. Many real-time embedded systems involve a collection of independently executing event-driven code blocks, having hard real-time constraints. Portions of such codes when t...
Samarjit Chakraborty, Thomas Erlebach, Lothar Thie...