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AAAI
2010
13 years 8 months ago
Multi-Agent Plan Recognition: Formalization and Algorithms
Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors from the observations of the activity-sequences of a set of intelligent agents...
Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle
ICCV
2009
IEEE
15 years 10 days ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
BIS
2008
119views Business» more  BIS 2008»
13 years 8 months ago
Fuzzy Constraint-based Schema Matching Formulation
The deep Web has many challenges to be solved. Among them is schema matching. In this paper, we build a conceptual connection between the schema matching problem SMP and the fuzzy ...
Alsayed Algergawy, Eike Schallehn, Gunter Saake
IEEECIT
2010
IEEE
13 years 5 months ago
A Recognizer of Rational Trace Languages
—The relevance of instruction parallelization and optimal event scheduling is currently increasing. In particular, because of the high amount of computational power available tod...
Federico Maggi
CP
1998
Springer
13 years 11 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow