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» Regularization by Adding Redundant Features
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SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
13 years 3 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
CORR
2010
Springer
432views Education» more  CORR 2010»
13 years 5 months ago
A Distributed Trust Management Framework for Detecting Malicious Packet Dropping Nodes in a Mobile Ad Hoc Network
In a multi-hop mobile ad hoc network (MANET) mobile nodes communicate with each other forming a cooperative radio network. Security remains a major challenge for these networks du...
Jaydip Sen
ICASSP
2011
IEEE
12 years 9 months ago
Multilayer perceptron with sparse hidden outputs for phoneme recognition
This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of...
Garimella S. V. S. Sivaram, Hynek Hermansky
OOPSLA
2005
Springer
13 years 11 months ago
Adding trace matching with free variables to AspectJ
An aspect observes the execution of a base program; when certain actions occur, the aspect runs some extra code of its own. In the AspectJ language, the observations that an aspec...
Chris Allan, Pavel Avgustinov, Aske Simon Christen...
ICASSP
2009
IEEE
13 years 9 months ago
Joint estimation of short-term and long-term predictors in speech coders
In low bit-rate coders, the near-sample and far-sample redundancies of the speech signal are usually removed by a cascade of a shortterm and a long-term linear predictor. These tw...
Daniele Giacobello, Mads Græsbøll Chr...