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» Structured Sparsity in Structured Prediction
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CVPR
2011
IEEE
14 years 10 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
ICML
2005
IEEE
16 years 2 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
BMCBI
2008
244views more  BMCBI 2008»
15 years 2 months ago
RNAalifold: improved consensus structure prediction for RNA alignments
Background: The prediction of a consensus structure for a set of related RNAs is an important first step for subsequent analyses. RNAalifold, which computes the minimum energy str...
Stephan H. F. Bernhart, Ivo L. Hofacker, Sebastian...
BMCBI
2006
108views more  BMCBI 2006»
15 years 2 months ago
Promoter prediction and annotation of microbial genomes based on DNA sequence and structural responses to superhelical stress
Background: In our previous studies, we found that the sites in prokaryotic genomes which are most susceptible to duplex destabilization under the negative superhelical stresses t...
Huiquan Wang, Craig J. Benham
BMCBI
2007
163views more  BMCBI 2007»
15 years 1 months ago
Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
Carmen Pin, Mark Reuter