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» From Features to Semantics: Some Preliminary Results
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SODA
2008
ACM
97views Algorithms» more  SODA 2008»
15 years 3 months ago
Stochastic analyses for online combinatorial optimization problems
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
Naveen Garg, Anupam Gupta, Stefano Leonardi, Piotr...
117
Voted
BMCBI
2008
160views more  BMCBI 2008»
15 years 1 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
IWPSE
2007
IEEE
15 years 7 months ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...
BMCBI
2006
145views more  BMCBI 2006»
15 years 1 months ago
Querying the public databases for sequences using complex keywords contained in the feature lines
Background: High throughput technologies often require the retrieval of large data sets of sequences. Retrieval of EMBL or GenBank entries using keywords is easy using tools such ...
Olivier Croce, Michaël Lamarre, Richard Chris...
SEMWEB
2009
Springer
15 years 8 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...