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» Taming the Dynamics of Distributed Data
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155
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SARA
2007
Springer
15 years 10 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
133
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HPCC
2005
Springer
15 years 10 months ago
Distributed Query Optimization in the Stack-Based Approach
Abstract. We consider query execution strategies for object-oriented distributed databases. There are several scenarios of query decomposition, assuming that the corresponding quer...
Hanna Kozankiewicz, Krzysztof Stencel, Kazimierz S...
IPPS
2006
IEEE
15 years 10 months ago
Dynamic resource allocation of computer clusters with probabilistic workloads
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Marwan S. Sleiman, Lester Lipsky, Robert Sheahan
APPT
2007
Springer
15 years 6 months ago
A Parallel BSP Algorithm for Irregular Dynamic Programming
Dynamic programming is a widely applied algorithm design technique in many areas such as computational biology and scientific computing. Typical applications using this technique a...
Malcolm Yoke-Hean Low, Weiguo Liu, Bertil Schmidt
PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan