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» Scalable, updatable predictive models for sequence data
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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 2 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
BMCBI
2008
128views more  BMCBI 2008»
13 years 7 months ago
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
DOLAP
1999
ACM
14 years 12 hour ago
Updating OLAP Dimensions
OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related dimensions", or...
Carlos A. Hurtado, Alberto O. Mendelzon, Alejandro...
PVLDB
2010
174views more  PVLDB 2010»
13 years 6 months ago
x-RDF-3X: Fast Querying, High Update Rates, and Consistency for RDF Databases
The RDF data model is gaining importance for applications in computational biology, knowledge sharing, and social communities. Recent work on RDF engines has focused on scalable p...
Thomas Neumann, Gerhard Weikum
NAR
2011
223views Computer Vision» more  NAR 2011»
12 years 10 months ago
ODB: a database for operon organizations, 2011 update
ODB (Operon DataBase) aims to collect data of all known and conserved operons in completely sequenced genomes. Three newly updated features of this database have been added as fol...
Shujiro Okuda, Akiyasu C. Yoshizawa