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ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
91
Voted
DGO
2006
134views Education» more  DGO 2006»
15 years 1 months ago
Next steps in near-duplicate detection for eRulemaking
Large volume public comment campaigns and web portals that encourage the public to customize form letters produce many near-duplicate documents, which increases processing and sto...
Hui Yang, Jamie Callan, Stuart W. Shulman
130
Voted
BMCBI
2006
182views more  BMCBI 2006»
15 years 17 days ago
AceTree: a tool for visual analysis of Caenorhabditis elegans embryogenesis
Background: The invariant lineage of the nematode Caenorhabditis elegans has potential as a powerful tool for the description of mutant phenotypes and gene expression patterns. We...
Thomas J. Boyle, Zhirong Bao, John I. Murray, Carl...
CSL
2007
Springer
15 years 14 days ago
Soft indexing of speech content for search in spoken documents
The paper presents the Position Specific Posterior Lattice (PSPL), a novel lossy representation of automatic speech recognition lattices that naturally lends itself to efficient ...
Ciprian Chelba, Jorge Silva, Alex Acero
102
Voted
TCBB
2008
95views more  TCBB 2008»
15 years 12 days ago
Solving the Problem of Trans-Genomic Query with Alignment Tables
Abstract-- The trans-genomic query (TGQ) problem -- enabling the free query of biological information, even across genomes -- is a central challenge facing bioinformatics. Solution...
Douglas Stott Parker Jr., Ruey-Lung Hsiao, Yi Xing...