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AIPS
2008
13 years 7 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
AIPS
2004
13 years 6 months ago
Conformant Planning via Heuristic Forward Search: A New Approach
Conformant planning is the task of generating plans given uncertainty about the initial state and action effects, and without any sensing capabilities during plan execution. The p...
Ronen I. Brafman, Jörg Hoffmann
ADBIS
2009
Springer
143views Database» more  ADBIS 2009»
13 years 12 months ago
Cost-Based Vectorization of Instance-Based Integration Processes
The inefficiency of integration processes—as an abstraction of workflow-based integration tasks—is often reasoned by low resource utilization and significant waiting times f...
Matthias Böhm, Dirk Habich, Steffen Preissler...
SIGMOD
1998
ACM
97views Database» more  SIGMOD 1998»
13 years 9 months ago
Cost Based Query Scrambling for Initial Delays
Remote data access from disparate sources across a widearea network such as the Internet is problematic due to the unpredictable nature of the communications medium and the lack o...
Tolga Urhan, Michael J. Franklin, Laurent Amsaleg
CP
2007
Springer
13 years 11 months ago
An LP-Based Heuristic for Optimal Planning
Abstract. One of the most successful approaches in automated planning is to use heuristic state-space search. A popular heuristic that is used by a number of state-space planners i...
Menkes van den Briel, J. Benton, Subbarao Kambhamp...