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» Resampling methods for input modeling
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ESANN
2008
15 years 5 months ago
Linear Projection based on Noise Variance Estimation - Application to Spectral Data
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
Amaury Lendasse, Francesco Corona
121
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SEDE
2007
15 years 5 months ago
A software tool for optimal class-hierarchy design based on the use-relationship among functions and variables
We present a software tool for creating an optimal classhierarchy from the use-relationship among data-items and functions based on the method in Kundu and Gwee [3]. The tool dete...
Nigel Gwee, Sukhamay Kundu
98
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CORR
2007
Springer
121views Education» more  CORR 2007»
15 years 3 months ago
Analysis and design of raptor codes for joint decoding using Information Content evolution
— In this paper, we present an analytical analysis of the convergence of raptor codes under joint decoding over the binary input additive white noise channel (BIAWGNC), and deriv...
Auguste Venkiah, Charly Poulliat, David Declercq
TWC
2010
14 years 10 months ago
A fixed-lag particle smoother for blind SISO equalization of time-varying channels
We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symb...
Alberto Gaspar Guimarães, Boujemaa Ait-El-F...
189
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PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
15 years 2 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu