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BMCBI
2010
259views more  BMCBI 2010»
15 years 1 months ago
Rule-based spatial modeling with diffusing, geometrically constrained molecules
Background: We suggest a new type of modeling approach for the coarse grained, particle-based spatial simulation of combinatorially complex chemical reaction systems. In our appro...
Gerd Gruenert, Bashar Ibrahim, Thorsten Lenser, Ma...
EPK
2007
148views Management» more  EPK 2007»
15 years 8 months ago
On the Degree of Behavioral Similarity between Business Process Models
Abstract: Quality aspects become increasingly important while business process modeling is used in a large-scale enterprise setting. In order to facilitate a storage without redund...
Jan Mendling, Boudewijn F. van Dongen, Wil M. P. v...
WSC
2008
15 years 8 months ago
How to build better models: Applying agile techniques to simulation
For simulation practitioners, the common steps in a simulation modeling engagement are likely familiar: problem assessment, requirements specification, model building, verificatio...
James T. Sawyer, David M. Brann
UML
2005
Springer
15 years 12 months ago
Use Cases in Model-Driven Software Engineering
Use cases have achieved wide use as specification tools for systems observable behavior, but there still remains a large gap between specifying behavior and determining the softwar...
Hernán Astudillo, Gonzalo Génova, Mi...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 7 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto