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IJCAI
2001
13 years 9 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
EMSOFT
2006
Springer
13 years 9 months ago
Reusable models for timing and liveness analysis of middleware for distributed real-time and embedded systems
Distributed real-time and embedded (DRE) systems have stringent constraints on timeliness and other properties whose assurance is crucial to correct system behavior. Formal tools ...
Venkita Subramonian, Christopher D. Gill, Cé...
DAC
2005
ACM
14 years 8 months ago
Fault and energy-aware communication mapping with guaranteed latency for applications implemented on NoC
As feature sizes shrink, transient failures of on-chip network links become a critical problem. At the same time, many applications require guarantees on both message arrival prob...
Sorin Manolache, Petru Eles, Zebo Peng
NIPS
2001
13 years 9 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
JAIR
2008
171views more  JAIR 2008»
13 years 7 months ago
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002