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ICML
2008
IEEE
14 years 10 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
LATA
2009
Springer
14 years 4 months ago
A Cryptosystem Based on the Composition of Reversible Cellular Automata
We present conditions which guarantee that a composition of marker cellular automata has the same neighbourhood as each of the individual components. We show that, under certain te...
Adam Clarridge, Kai Salomaa
PADL
2004
Springer
14 years 2 months ago
Compositional Model-Views with Generic Graphical User Interfaces
Abstract. Creating GUI programs is hard even for prototyping purposes. Using the model-view paradigm makes it somewhat simpler since the model-view paradigm dictates that the model...
Peter Achten, Marko C. J. D. van Eekelen, Marinus ...
WEBENG
2001
Springer
14 years 1 months ago
Development and Evolution of Web-Applications Using the WebComposition Process Model
From a software engineering perspective the World Wide Web is a new application platform. The implementation model that the Web is based on makes it difficult to apply classic proc...
Martin Gaedke, Guntram Gräf
HYBRID
1995
Springer
14 years 26 days ago
Compositional and Uniform Modelling of Hybrid Systems
This paper discusses fundamentals of hybrid system modelling. Emphazis is put on compositionality and the use of multiform time. Compositionality refers to the ability of freely co...
Albert Benveniste