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» The Structure Function and Distinguishable Models of Data
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SAC
2011
ACM
13 years 2 months ago
Non parametric estimation of the structural expectation of a stochastic increasing function
This article introduces a non parametric warping model for functional data. When the outcome of an experiment is a sample of curves, data can be seen as realizations of a stochast...
J.-F. Dupuy, J.-M. Loubes, E. Maza
BMCBI
2010
179views more  BMCBI 2010»
13 years 7 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
PDCAT
2005
Springer
14 years 29 days ago
Solving Very Large Traveling Salesman Problems by SOM Parallelization on Cluster Architectures
This paper describes how to solve very large TravelingSalesman Problems heuristically by the parallelization of self-organizing maps on cluster architectures. The used way of para...
Hannes Schabauer, Erich Schikuta, Thomas Weish&aum...
CORR
2008
Springer
84views Education» more  CORR 2008»
13 years 7 months ago
Nested Ordered Sets and their Use for Data Modelling
In this paper we present a new approach to data modelling, called the concept-oriented model (CoM), and describe its main features and characteristics including data semantics and ...
Alexandr A. Savinov
DATESO
2007
107views Database» more  DATESO 2007»
13 years 9 months ago
Updating Typed XML Documents Using a Functional Data Model
We address a problem of updating XML documents having their XML schema described by a Document Type Definition (DTD) without breaking their validity. We present a way how to expre...
Pavel Loupal