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» Dimensionality reduction and generalization
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142
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CAISE
1999
Springer
15 years 8 months ago
Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Wasim Sadiq, Maria E. Orlowska
113
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TSP
2010
14 years 10 months ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...
117
Voted
DAC
2005
ACM
16 years 4 months ago
Structure preserving reduction of frequency-dependent interconnect
A rational Arnoldi method for passivity-preserving model-order reduction (MOR) with implicit multi-point moment matching for systems with frequency-dependent interconnects is desc...
Quming Zhou, Kartik Mohanram, Athanasios C. Antoul...
141
Voted
SIPS
2007
IEEE
15 years 10 months ago
Peak-to-Average Power Ratio Reduction in an FDM Broadcast System
Digital predistortion is a technique used to reduce the signal dynamic range in a multichannel system in order to improve power amplifier (PA) efficiency. These techniques have be...
Zhengya Zhang, Renaldi Winoto, Ahmad Bahai, Borivo...
144
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ECML
2005
Springer
15 years 9 months ago
Combining Bias and Variance Reduction Techniques for Regression Trees
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
Yuk Lai Suen, Prem Melville, Raymond J. Mooney