Paper Info
Title
Vectorial Pattern Databases
Abstract
In this work, a new approach for creating Pattern Databases (PDBs) is suggested that induces non-consistent heuristic functions just by recognizing feasible (yet admissible) heuristic values. This approach serves to generalize even further the BPMX propagation rule, that will work now even in directed graphs. Experiments in different state spaces show a noticeable improvement over the Scalar Pattern Databases.
Year
DOI
Venue
2010
10.3233/978-1-60750-606-5-1059
European Conference on Artificial Intelligence
Keywords
Field
DocType
different state space,non-consistent heuristic function,pattern databases,scalar pattern databases,heuristic value,vectorial pattern databases,noticeable improvement,bpmx propagation rule,new approach
Mathematical optimization,Heuristic,Computer science,Scalar (physics),Directed graph,Artificial intelligence,Database,Machine learning
Conference
Volume
ISSN
Citations 
215
0922-6389
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Carlos Linares López19315.67