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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 4 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
CIKM
2009
Springer
15 years 9 months ago
Cross-language linking of news stories on the web using interlingual topic modelling
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
Wim De Smet, Marie-Francine Moens
BMCBI
2010
259views more  BMCBI 2010»
14 years 10 months ago
Rule-based spatial modeling with diffusing, geometrically constrained molecules
Background: We suggest a new type of modeling approach for the coarse grained, particle-based spatial simulation of combinatorially complex chemical reaction systems. In our appro...
Gerd Gruenert, Bashar Ibrahim, Thorsten Lenser, Ma...
CANDC
2009
ACM
15 years 9 months ago
RiTa: creativity support for computational literature
The RiTa Toolkit for Computation Literature is a suite of open-source components, tutorials, and examples, providing support for a range of tasks related to the practice of creati...
Daniel C. Howe
IRI
2005
IEEE
15 years 8 months ago
Issues of hierarchical heterogeneous modeling in component reusability
Heterogeneous systems are systems that obey different functioning laws. For instance, during the design of embedded systems, it is generally necessary to study both the controller...
Aimé Mokhoo Mbobi, Frédéric B...