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» Learning operational requirements from goal models
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SSPR
2004
Springer
14 years 1 months ago
Learning of Form Models from Exemplars
Model-based image recognition requires a general model of the object that should be detected in an image. In many applications such models are not known a-priori instead of they mu...
Petra Perner, Silke Jänichen
ICANN
2003
Springer
14 years 1 months ago
Learning Rule Representations from Boolean Data
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...
WSCG
2003
149views more  WSCG 2003»
13 years 9 months ago
Boolean Operations on Feature-based Models
Boolean operations and feature-based modeling are closely linked domains. For example, several, sometimes many Boolean operations are involved during a feature instantiation or mo...
Yvon Gardan, Christian Minich, Estelle Perrin
ATMOS
2007
177views Optimization» more  ATMOS 2007»
13 years 9 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
APSEC
2005
IEEE
14 years 1 months ago
Ontology-based Active Requirements Engineering Framework
Software-intensive systems are systems of systems that rely on complex interdependencies among themselves as well as with their operational environment to satisfy the required beh...
Seok Won Lee, Robin A. Gandhi