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» A Bayesian Approach to Tackling Hard Computational Problems
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BMCBI
2008
211views more  BMCBI 2008»
13 years 11 months ago
CPSP-tools - Exact and complete algorithms for high-throughput 3D lattice protein studies
Background: The principles of protein folding and evolution pose problems of very high inherent complexity. Often these problems are tackled using simplified protein models, e.g. ...
Martin Mann, Sebastian Will, Rolf Backofen
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 2 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
ISBRA
2007
Springer
14 years 4 months ago
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
Italo Zoppis, Daniele Merico, Marco Antoniotti, Bu...
CIKM
2007
Springer
14 years 5 months ago
Reusing relational sources for semantic information access
The rapid growth of available data arises the need for more sophisticated techniques for semantic access to information. It has been proved that using conceptual model or ontology...
Lina Lubyte
SEMWEB
2007
Springer
14 years 4 months ago
Cultural Adaptivity for the Semantic Web
Our research explores the possibilities for factoring culture into user models, working towards cultural adaptivity in the semantic web. The aim is to represent the user’s positi...
Katharina Reinecke