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» Predicting When Not to Predict
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132
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CSDA
2006
145views more  CSDA 2006»
15 years 4 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin
165
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BMCBI
2007
127views more  BMCBI 2007»
15 years 4 months ago
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
121
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ISCI
2008
88views more  ISCI 2008»
15 years 4 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
IJON
2006
138views more  IJON 2006»
15 years 4 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong
122
Voted
CORR
2007
Springer
123views Education» more  CORR 2007»
15 years 4 months ago
Achieving the Gaussian Rate-Distortion Function by Prediction
Abstract— The “water-filling” solution for the quadratic ratedistortion function of a stationary Gaussian source is given in terms of its power spectrum. This formula natura...
Ram Zamir, Yuval Kochman, Uri Erez