4345 search results - page 284 / 869 » Temporal Constraint Networks |
188
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NIPS
2008
15 years 8 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
171
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AAAI
2008
15 years 9 months ago
2008
Direction relations between extended spatial objects are important commonsense knowledge. Recently, Goyal and Egenhofer proposed a formal model, called Cardinal Direction Calculus...
177
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TNN
2008
15 years 6 months ago
2008
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
167
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
180
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SPIN
2010
Springer
15 years 5 months ago
2010
Springer
In our earlier work we have proposed using the declarative language DecSerFlow for modeling, analysis and enactment of processes in autonomous web services. DecSerFlow uses constra...