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BMCBI
2010
156views more  BMCBI 2010»
13 years 5 months ago
Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...
Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisa...
ABIALS
2008
Springer
13 years 7 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
ECML
2001
Springer
13 years 10 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
FASE
2008
Springer
13 years 7 months ago
Verification of Architectural Refactorings by Rule Extraction
With the success of model-driven development as well as component-based and service-oriented systems, models of software architecture are key artefacts in the development process. ...
Dénes Bisztray, Reiko Heckel, Hartmut Ehrig
BMCBI
2008
133views more  BMCBI 2008»
13 years 5 months ago
ElliPro: a new structure-based tool for the prediction of antibody epitopes
Background: Reliable prediction of antibody, or B-cell, epitopes remains challenging yet highly desirable for the design of vaccines and immunodiagnostics. A correlation between a...
Julia V. Ponomarenko, Huynh-Hoa Bui, Wei Li, Nicho...