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» Multiple Layer Clustering of Large Software Systems
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WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
BALT
2008
13 years 9 months ago
Flexible Database Platform for Biomedical Research with Multiple User Interfaces and a Universal Query Engine
Biomedical research on human subjects often requires a large amount of data to be collected by personal interviews, Internet based questionnaires, lab measurements or by extracting...
Margus Jäger, Liina Kamm, Darja Krushevskaja,...
TOOLS
1999
IEEE
13 years 12 months ago
Cooperative Software Development: Concepts, Model and Tools
The development of large software systems demands intensive cooperation among multiple project team members with different responsibilities. The development process is often distr...
Josef Altmann, Gustav Pomberger
BMCBI
2008
214views more  BMCBI 2008»
13 years 6 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
SAC
2008
ACM
13 years 7 months ago
A software architecture for ontology-driven situation awareness
Human operators of large-scale control systems face the problem of information overload induced by the large amount of information provided by multiple heterogeneous and highlydyn...
Norbert Baumgartner, Werner Retschitzegger, Wielan...