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» Learning nonlinear dynamic models
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147
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NIPS
2008
15 years 5 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
143
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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
15 years 5 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
127
Voted
RTSS
2006
IEEE
15 years 9 months ago
System-Level Energy Management for Periodic Real-Time Tasks
In this paper, we consider the system-wide energy management problem for a set of periodic real-time tasks running on a DVS-enabled processor. Our solution uses a generalized powe...
Hakan Aydin, Vinay Devadas, Dakai Zhu
111
Voted
ICML
2005
IEEE
16 years 4 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
141
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WSC
2000
15 years 4 months ago
Teaching system modeling, simulation and validation
Simulation is used in the design process of dynamic systems. The results of simulation are employed for validating a model, and they are helpful for the improvement of the design ...
Jörg Desel