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» A framework for situated decision support systems
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JAIR
2011
144views more  JAIR 2011»
13 years 3 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
SIGOPSE
1998
ACM
14 years 1 months ago
DROPS: OS support for distributed multimedia applications
The characterising new requirement for distributed multimedia applications is the coexistence of dynamic real-time and non-real-time applications on hosts and networks. While some...
Hermann Härtig, Robert Baumgartl, Martin Borr...
CPAIOR
2006
Springer
14 years 17 days ago
Event-Driven Probabilistic Constraint Programming
Real-life management decisions are usually made in uncertain environments, and decision support systems that ignore this uncertainty are unlikely to provide realistic guidance. We ...
Armagan Tarim, Brahim Hnich, Steven David Prestwic...
MICRO
2000
IEEE
162views Hardware» more  MICRO 2000»
14 years 12 days ago
Accurate and efficient predicate analysis with binary decision diagrams
Functionality and performance of EPIC architectural features depend on extensive compiler support. Predication, one of these features, promises to reduce control flow overhead and...
John W. Sias, Wen-mei W. Hwu, David I. August
ICCBR
1999
Springer
14 years 1 months ago
Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study
In response to the occurrence of an air incident, controllers at one of the three Canadian Rescue Coordination Centers (RCC) must make a series of critical decisions on the appropr...
Irène Abi-Zeid, Qiang Yang, Luc Lamontagne