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101
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IJAR
2006
118views more  IJAR 2006»
15 years 2 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
CONNECTION
2004
93views more  CONNECTION 2004»
15 years 2 months ago
A real-time robotic model of human reference resolution using visual constraints
Evidence from recent psycholinguistic experiments suggests that humans resolve reference incrementally in the presence of constraining visual context. In this paper, we present an...
Matthias Scheutz, Kathleen M. Eberhard, Virgil And...
CP
2003
Springer
15 years 7 months ago
Open Constraint Optimization
Constraint satisfaction has been applied with great success in closed-world scenarios, where all options and constraints are known from the beginning and fixed. With the internet,...
Boi Faltings, Santiago Macho-Gonzalez
COLCOM
2007
IEEE
15 years 4 months ago
Maintaining constraints expressed as formulas in collaborative systems
—Constraints allow users to declare relationships among objects and let the constraint systems maintain and satisfy these relationships. Formulas have been adopted to express con...
Kai Lin, David Chen, R. Geoff Dromey, Chengzheng S...
135
Voted
ICCAD
1999
IEEE
81views Hardware» more  ICCAD 1999»
15 years 6 months ago
Modeling design constraints and biasing in simulation using BDDs
Constraining and input biasing are frequently used techniques in functional verification methodologies based on randomized simulation generation. Constraints confine the simulatio...
Jun Yuan, Kurt Shultz, Carl Pixley, Hillel Miller,...