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ML
2002
ACM
129views Machine Learning» more  ML 2002»
13 years 8 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
IWANN
2001
Springer
14 years 1 months ago
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
Elisa Guerrero Vázquez, Andrés Y&aac...
MSWIM
2006
ACM
14 years 2 months ago
Performance modeling of critical event management for ubiquitous computing applications
A generic theoretical framework for managing critical events in ubiquitous computing systems is presented. The main idea is to automatically respond to occurrences of critical eve...
Tridib Mukherjee, Krishna M. Venkatasubramanian, S...
ICC
2009
IEEE
113views Communications» more  ICC 2009»
14 years 3 months ago
Green Support for PC-Based Software Router: Performance Evaluation and Modeling
—We consider a new generation of COTS Software Routers (SRs), able to effectively exploit multi-Core/CPU HW platforms. Our main objective is to evaluate and to model the impact o...
Raffaele Bolla, Roberto Bruschi, Andrea Ranieri
CIKM
2011
Springer
12 years 8 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore