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BIB
2007
108views more  BIB 2007»
15 years 6 months ago
Bayesian methods in bioinformatics and computational systems biology
Bayesian methods are valuable, inter alia, whenever there is a need to extract information from data that is uncertain or subject to any kind of error or noise (including measurem...
Darren J. Wilkinson
DOLAP
2009
ACM
16 years 20 days ago
A taxonomy of ETL activities
Extract-Transform-Load (ETL) activities are software modules responsible for populating a data warehouse with operational data, which have undergone a series of transformations on...
Panos Vassiliadis, Alkis Simitsis, Eftychia Baikou...
ICCS
2004
Springer
15 years 11 months ago
Improving Generalization Level in UML Models Iterative Cross Generalization in Practice
FCA has been successfully applied to software engineering tasks such as source code analysis and class hierarchy re-organization. Most notably, FCA hematics behind the mechanism of...
Michel Dao, Marianne Huchard, Mohamed Rouane Hacen...
ECAI
2008
Springer
15 years 8 months ago
Belief revision with reinforcement learning for interactive object recognition
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
Thomas Leopold, Gabriele Kern-Isberner, Gabriele P...
WAIM
2010
Springer
15 years 4 months ago
A Model for Automatic Generation of Multi-partite Graphs from Arbitrary Data
In this paper we propose a generic model to generate basic multi-partite graphs obtained by associations found in arbitrary data. The interest of such a model is to be the formal ...
Ricardo A. Baeza-Yates, Nieves R. Brisaboa, Josep-...