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ESANN
2006
15 years 8 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
IJEB
2008
101views more  IJEB 2008»
15 years 6 months ago
Applying a Customer Value Model in mobile communication business
: Communication services are currently confronted with large changes due to the price erosion of services and the entry of new service providers. The gap has been filled with diffe...
Mikko Pynnönen, Jukka Hallikas
ML
2002
ACM
129views Machine Learning» more  ML 2002»
15 years 6 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
CORR
2008
Springer
155views Education» more  CORR 2008»
15 years 6 months ago
Software dependability modeling using an industry-standard architecture description language
: Performing dependability evaluation along with other analyses at architectural level allows both making architectural tradeoffs and predicting the effects of architectural decisi...
Ana-Elena Rugina, Peter H. Feiler, Karama Kanoun, ...
ICCD
2007
IEEE
105views Hardware» more  ICCD 2007»
16 years 1 months ago
Circuit-level mismatch modelling and yield optimization for CMOS analog circuits
A methodology for constructing circuit-level mismatch models and performing yield optimization is presented for CMOS analog circuits. The methodology combines statistical techniqu...
Mingjing Chen, Alex Orailoglu