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» Prediction of Contact Maps Using Support Vector Machines
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CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 19 days ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
NECO
2007
115views more  NECO 2007»
13 years 8 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
BMCBI
2010
148views more  BMCBI 2010»
13 years 8 months ago
Analysis of interactions between ribosomal proteins and RNA structural motifs
Background: One important goal of structural bioinformatics is to recognize and predict the interactions between protein binding sites and RNA. Recently, a comprehensive analysis ...
Giovanni Ciriello, Claudio Gallina, Concettina Gue...
BMCBI
2007
157views more  BMCBI 2007»
13 years 8 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...