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» The Predictability of Data Values
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ICASSP
2009
IEEE
16 years 1 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales
LION
2009
Springer
112views Optimization» more  LION 2009»
16 years 1 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi
ICC
2007
IEEE
16 years 1 months ago
Widely Linear Prediction for Blind Equalization
— This paper proposes a new blind equalization scheme based on widely linear (WL) prediction. It permits to compensate non-minimum phase channels with or without spectral nulls, ...
Francisco J. A. de Aquino, Carlos A. F. da Rocha, ...
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CEC
2005
IEEE
16 years 10 days ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
ATAL
2005
Springer
16 years 7 days ago
Pheromone model: application to traffic congestion prediction
Social insects such as ants and bees perform complex tasks with pheromone communication despite lack of top-down style control. We have examined applications of this pheromone par...
Osamu Masutani, Hiroshi Sasaki, Hirotoshi Iwasaki,...