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TNN
2010
127views Management» more  TNN 2010»
15 years 1 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
TNN
2010
143views Management» more  TNN 2010»
15 years 1 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
TSP
2010
15 years 1 months ago
A nondata-aided SNR estimation technique for multilevel modulations exploiting signal cyclostationarity
Signal-to-noise ratio (SNR) estimators of linear modulation schemes usually operate at one sample per symbol at the matched filter output. In this paper we propose a new method for...
Jaume Riba, Javier Villares, Gregori Vázque...
ICASSP
2011
IEEE
14 years 10 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
CGF
2011
14 years 10 months ago
Contouring Discrete Indicator Functions
We present a method for calculating the boundary of objects from Discrete Indicator Functions that store 2material volume fractions with a high degree of accuracy. Although Marchi...
Josiah Manson, J. Smith, Scott Schaefer