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FLAIRS
2006
15 years 8 months ago
A Hill-Climbing Approach for Planning with Temporal Uncertainty
We present a hill-climbing algorithm to solve planning problems with temporal uncertainty. First an optimistic plan that is valid when all actions complete quickly is found. Then ...
Janae N. Foss, Nilufer Onder
FLAIRS
2001
15 years 8 months ago
Multiple Predicate Learning for Document Image Understanding
Documentimageunderstandingdenotesthe recognition of semanticallyrelevant componentsin the layout extracted froma documentimage.This recognitionprocessis based on somevisual models...
Floriana Esposito, Donato Malerba, Francesca A. Li...
GEO
2000
15 years 8 months ago
Satisfying Interaction Constraints
: In feature modelling, constraints can be used to store design intent in a model. Interaction constraints are an important type of constraints, which limit the extent to which fea...
Alex Noort, Rafael Bidarra, Willem F. Bronsvoort
ENTCS
2008
98views more  ENTCS 2008»
15 years 6 months ago
Modifying Contracts with Larissa Aspects
This paper combines two successful techniques from software engineering, aspect-oriented programming and design-by-contract, and applies them in the context of reactive systems. F...
David Stauch
IJDMMM
2008
87views more  IJDMMM 2008»
15 years 6 months ago
Is an ordinal class structure useful in classifier learning?
In recent years, a number of machine learning algorithms have been developed for the problem of ordinal classification. These algorithms try to exploit, in one way or the other, t...
Jens C. Huhn, Eyke Hüllermeier