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CVPR
2012
IEEE
13 years 9 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
COMPLIFE
2006
Springer
15 years 11 months ago
Software Supported Modelling in Pharmacokinetics
A powerful new software concept to physiologically based pharmacokinetic (PBPK) modelling of drug disposition is presented. It links the inherent modular understanding in pharmacol...
Regina Telgmann, Max von Kleist, Wilhelm Huisinga
AAAI
2006
15 years 8 months ago
Local-Search Techniques for Boolean Combinations of Pseudo-Boolean Constraints
Some search problems are most directly specified by boolean combinations of pseudo-boolean constraints. We study a logic PL(PB) whose formulas are of this form, and design local-s...
Lengning Liu, Miroslaw Truszczynski
NOSSDAV
2001
Springer
15 years 11 months ago
Analysis of educational media server workloads
This paper presents an extensive analysis of the client workloads for educational media servers at two major U.S. universities. The goals of the analysis include providing data fo...
Jussara M. Almeida, Jeffrey Krueger, Derek L. Eage...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic