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» Modeling Input Validation in UML
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109
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ADAEUROPE
2007
Springer
15 years 3 months ago
Automatic Ada Code Generation Using a Model-Driven Engineering Approach
Currently, Model-Driven Engineering (MDE) is considered one of the most promising approaches for software development. In this paper, a simple but complete example based on state-m...
Diego Alonso, Cristina Vicente-Chicote, Pedro S&aa...
EPEW
2008
Springer
15 years 3 months ago
Partial Evaluation of PEPA Models for Fluid-Flow Analysis
Abstract. We present an application of partial evaluation to performance models expressed in the PEPA stochastic process algebra [1]. We partially evaluate the state-space of a PEP...
Allan Clark, Adam Duguid, Stephen Gilmore, Mirco T...
ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 1 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
124
Voted
KES
2005
Springer
15 years 7 months ago
Fuzzy Logic and Neuro-fuzzy Modelling of Diesel Spray Penetration
: The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylind...
Shaun H. Lee, Robert J. Howlett, Simon D. Walters,...
105
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SOCO
2008
Springer
15 years 1 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi