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COLT
1993
Springer
15 years 8 months ago
Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
Paul W. Goldberg, Mark Jerrum
ICFCA
2007
Springer
15 years 10 months ago
A Parameterized Algorithm for Exploring Concept Lattices
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Peggy Cellier, Sébastien Ferré, Oliv...
KES
2007
Springer
15 years 10 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato
ESAW
2006
Springer
15 years 8 months ago
Modelling and Executing Complex and Dynamic Business Processes by Reification of Agent Interactions
Interaction refers to an abstract and intangible concept. In modelling, intangible concepts can be embodied and made explicit. This allows to manipulate the abstractions and to bui...
Marco Stuit, Nick B. Szirbik
ASWEC
2005
IEEE
15 years 10 months ago
Extending UML for Model Composition
The success of UML and more generally, of the model driven approach, has led to a proliferation of models, representing various systems, but the description of large applications ...
Jacky Estublier, Anca Daniela Ionita