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IJCAI
2001
13 years 10 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
DANCE
2002
IEEE
14 years 2 months ago
A Framework for Building Complex Netcentric Systems on Active Network
Active applications can add value to communication. Yet it involves sophisticated domain knowledge and complex development process. In this paper we discuss a framework for the co...
Javed I. Khan, Seung Su Yang
SIAMSC
2008
125views more  SIAMSC 2008»
13 years 9 months ago
Hybrid Simulations of Reaction-Diffusion Systems in Porous Media
Abstract. Hybrid or multiphysics algorithms provide an efficient computational tool for combining micro- and macroscale descriptions of physical phenomena. Their use becomes impera...
Alexandre M. Tartakovsky, Daniel M. Tartakovsky, T...
ECAI
2004
Springer
14 years 2 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
BPM
2007
Springer
165views Business» more  BPM 2007»
14 years 29 days ago
Modeling Requirements for Value Configuration Design
Breadth and depth complexity are key challenges in achieving business process fusion as the enabler for value configuration design. The PARM framework is proposed as the requiremen...
Eng Chew, Igor Hawryszkiewycz, Michael Soanes