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» A Framework for Hybrid Planning
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AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 6 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
WECWIS
2003
IEEE
102views ECommerce» more  WECWIS 2003»
15 years 11 months ago
FUSION: A System Allowing Dynamic Web Service Composition and Automatic Execution
Service portals are systems which expose a bundle of web services to the user, allowing the specification and subsequent execution of complex tasks defined over these individual...
Debra E. VanderMeer, Anindya Datta, Kaushik Dutta,...
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 6 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
ICTAI
2009
IEEE
15 years 4 months ago
TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
Emmanuel Rachelson, Patrick Fabiani, Fréd&e...
RECOMB
2007
Springer
16 years 6 months ago
Framework for Identifying Common Aberrations in DNA Copy Number Data
High-resolution array comparative genomic hybridization (aCGH) provides exon-level mapping of DNA aberrations in cells or tissues. Such aberrations are central to carcinogenesis an...
Amir Ben-Dor, Doron Lipson, Anya Tsalenko, Mark Re...