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» Learning Models of Macrobehavior in Complex Adaptive Systems
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BMCBI
2007
138views more  BMCBI 2007»
13 years 7 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
13 years 6 months ago
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...
ECAL
2007
Springer
14 years 1 months ago
Multi-level Selection in the Emergence of Language Systematicity
Language can be viewed as a complex adaptive system which is continuously shaped and reshaped by the actions of its users as they try to solve communicative problems. To maintain c...
Luc Steels, Remi van Trijp, Pieter Wellens
AOSD
2003
ACM
14 years 24 days ago
Quantifying aspects in middleware platforms
Middleware technologies such as Web Services, CORBA and DCOM have been very successful in solving distributed computing problems for a large family of application domains. As midd...
Charles Zhang, Hans-Arno Jacobsen
DASFAA
2009
IEEE
253views Database» more  DASFAA 2009»
13 years 11 months ago
Implementing and Optimizing Fine-Granular Lock Management for XML Document Trees
Abstract. Fine-grained lock protocols with lock modes and lock granules adjusted to the various XML processing models, allow for highly concurrent transaction processing on XML tre...
Sebastian Bächle, Theo Härder, Michael P...