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» Variability Models Must Not be Invariant!
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IDA
2003
Springer
15 years 9 months ago
Fuzzy Clustering Based Segmentation of Time-Series
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
János Abonyi, Balazs Feil, Sandor Z. N&eacu...
IJCAI
2001
15 years 5 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
AI
2007
Springer
15 years 10 months ago
Adding Local Constraints to Bayesian Networks
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘orâ...
Mark Crowley, Brent Boerlage, David Poole
CP
2008
Springer
15 years 6 months ago
Perfect Derived Propagators
When implementing a propagator for a constraint, one must decide about variants: When implementing min, should one also implement max? Should one implement linear equations both wi...
Christian Schulte, Guido Tack
ATAL
2005
Springer
15 years 10 months ago
Bumping strategies for the multiagent agreement problem
We introduce the Multiagent Agreement Problem (MAP) to represent a class of multiagent scheduling problems. MAP is based on the Distributed Constraint Reasoning (DCR) paradigm and...
Pragnesh Jay Modi, Manuela M. Veloso