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NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 10 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
PE
2008
Springer
173views Optimization» more  PE 2008»
13 years 10 months ago
Improving fairness in a WRED-based DiffServ network: A fluid-flow approach
The DiffServ architecture has been proposed as a scalable approach for upgrading the Internet, adding service differentiation functionalities. However, several aspects of this arc...
Mario Barbera, Alfio Lombardo, Giovanni Schembra, ...
SIGCSE
2008
ACM
143views Education» more  SIGCSE 2008»
13 years 10 months ago
Test-driven learning in early programming courses
Coercing new programmers to adopt disciplined development practices such as thorough unit testing is a challenging endeavor. Test-driven development (TDD) has been proposed as a s...
David Janzen, Hossein Saiedian
SIGIR
2008
ACM
13 years 10 months ago
Task-aware search personalization
Search personalization has been pursued in many ways, in order to provide better result rankings and better overall search experience to individual users [5]. However, blindly app...
Julia Luxenburger, Shady Elbassuoni, Gerhard Weiku...
SIGIR
2008
ACM
13 years 10 months ago
SpotSigs: robust and efficient near duplicate detection in large web collections
Motivated by our work with political scientists who need to manually analyze large Web archives of news sites, we present SpotSigs, a new algorithm for extracting and matching sig...
Martin Theobald, Jonathan Siddharth, Andreas Paepc...
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