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» The Structure Function and Distinguishable Models of Data
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107
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SAC
2011
ACM
14 years 9 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»
15 years 2 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...
108
Voted
PDCAT
2005
Springer
15 years 8 months 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...
108
Voted
CORR
2008
Springer
84views Education» more  CORR 2008»
15 years 2 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
132
Voted
DATESO
2007
107views Database» more  DATESO 2007»
15 years 4 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