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ICML
2010
IEEE
13 years 11 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
CAISE
2008
Springer
14 years 1 days ago
How Much Language Is Enough? Theoretical and Practical Use of the Business Process Modeling Notation
The Business Process Modeling Notation (BPMN) is an increasingly important industry standard for the graphical representation of business processes. BPMN offers a wide range of mod...
Michael zur Muehlen, Jan Recker
DCOSS
2009
Springer
14 years 4 months ago
Similarity Based Optimization for Multiple Query Processing in Wireless Sensor Networks
Wireless sensor networks (WSNs) have been proposed for a large variety of applications. As the number of applications of sensor networks continue to grow, the number of users in se...
Hui Ling, Taieb Znati
ISPASS
2006
IEEE
14 years 4 months ago
Comparing simulation techniques for microarchitecture-aware floorplanning
— Due to the long simulation times of the reference input sets, microarchitects resort to alternative techniques to speed up cycle-accurate simulations. However, the reduction in...
Vidyasagar Nookala, Ying Chen, David J. Lilja, Sac...
BMCBI
2006
142views more  BMCBI 2006»
13 years 10 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins