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NIPS
1998
15 years 7 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
BMCBI
2010
102views more  BMCBI 2010»
15 years 6 months ago
Missing genes in the annotation of prokaryotic genomes
Background: Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports...
Andrew S. Warren, Jeremy S. Archuleta, Wu-chun Fen...
IT
2008
159views more  IT 2008»
15 years 6 months ago
Service Oriented Architecture - Overview of Technologies and Standards
provides a powerful abstraction basically allowing to perceiving all compute resources as entities that can be dynamically discovered and composed. These entities are called servic...
Dimka Karastoyanova, Frank Leymann
SIGMOD
2011
ACM
297views Database» more  SIGMOD 2011»
14 years 9 months ago
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets
The widespread adoption of the Resource Description Framework (RDF) for the representation of both open web and enterprise data is the driving force behind the increasing research...
Songyun Duan, Anastasios Kementsietsidis, Kavitha ...
ICSE
2009
IEEE-ACM
16 years 1 months ago
MINTS: A general framework and tool for supporting test-suite minimization
Regression test suites tend to grow over time as new test cases are added to exercise new functionality or to target newly-discovered faults. When test suites become too large, th...
Hwa-You Hsu, Alessandro Orso