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NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 2 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
ATAL
2007
Springer
14 years 2 months ago
Interactive dynamic influence diagrams
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
Kyle Polich, Piotr J. Gmytrasiewicz
ICCAD
1995
IEEE
144views Hardware» more  ICCAD 1995»
14 years 2 months ago
Background memory management for dynamic data structure intensive processing systems
Abstract -- Telecommunication network management applications often require application-specific ICs that use large dynamically allocated stored data structures. Currently availab...
Gjalt G. de Jong, Bill Lin, Carl Verdonck, Sven Wu...
AP2PC
2007
Springer
14 years 10 days ago
A Dynamic Pricing and Bidding Strategy for Autonomous Agents in Grids
In this paper, we propose a dynamic pricing strategy which is used for a market-based resource allocation mechanism in a local Grid. We implement an agent based Grid economy in whi...
Behnaz Pourebrahimi, Koen Bertels, Stamatis Vassil...
SERVICES
2008
77views more  SERVICES 2008»
14 years 6 days ago
Dynamic Service Substitution in Service-Oriented Architectures
The problem we deal with in this paper is the dynamic substitution of stateful services that become unavailable during the execution of service orchestrations. Previous research e...
Manel Fredj, Nikolaos Georgantas, Valérie I...