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» Efficient Learning of Relational Object Class Models
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KES
2007
Springer
15 years 9 months ago
A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks
Biological systems consist of many components and interactions between them. In Systems Biology the principal problem is modeling complex biological systems and reconstructing inte...
Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, ...
ICCAD
1994
IEEE
111views Hardware» more  ICCAD 1994»
15 years 7 months ago
On modeling top-down VLSI design
We present an improved data model that reflects the whole VLSI design process including bottom-up and topdown design phases. The kernel of the model is a static version concept th...
Bernd Schürmann, Joachim Altmeyer, Martin Sch...
APN
1997
Springer
15 years 7 months ago
Life-Cycle Inheritance: A Petri-Net-Based Approach
Abstract. Inheritance is one of the key issues of object-orientation. The inheritance mechanism allows for the definition of a subclass which inherits the features of a specific ...
Wil M. P. van der Aalst, Twan Basten
ICIP
2001
IEEE
16 years 4 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
BMCBI
2007
215views more  BMCBI 2007»
15 years 3 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer