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MATES
2009
Springer
14 years 1 months ago
Concurrently Decomposable Constraint Systems
In constraint satisfaction, decomposition is a common technique to split a problem in a number of parts in such a way that the global solution can be efficiently assembled from th...
Cees Witteveen, Wiebe van der Hoek, Nico Roos
CONSTRAINTS
2008
95views more  CONSTRAINTS 2008»
13 years 7 months ago
Efficient Sequence Alignment with Side-Constraints by Cluster Tree Elimination
Aligning DNA and protein sequences is a core technique in molecular biology. Often, it is desirable to include partial prior knowledge and conditions in an alignment. Going beyond...
Sebastian Will, Anke Busch, Rolf Backofen
ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
COMPULOG
1999
Springer
13 years 11 months ago
Dynamic Constraint Models for Planning and Scheduling Problems
Planning and scheduling attracts an unceasing attention of computer science community. However, despite of similar character of both tasks, in most current systems planning and sch...
Roman Barták
AUSAI
2008
Springer
13 years 9 months ago
Constraint-Based Multi-agent Path Planning
Planning collision-free paths for multiple robots traversing a shared space is a problem that grows combinatorially with the number of robots. The naive centralised approach soon ...
Malcolm Ryan