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TSMC
2010
13 years 3 months ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
AAAI
2008
13 years 11 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...
CORR
2010
Springer
85views Education» more  CORR 2010»
13 years 8 months ago
A control-theoretical methodology for the scheduling problem
This paper presents a novel methodology to develop scheduling algorithms. The scheduling problem is phrased as a control problem, and control-theoretical techniques are used to de...
Carlo A. Furia, Alberto Leva, Martina Maggio, Paol...
AAAI
2006
13 years 10 months ago
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
Jinbo Huang, Mark Chavira, Adnan Darwiche
LSSC
2005
Springer
14 years 2 months ago
Ant Algorithm for Grid Scheduling Problem
Abstract. Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geog...
Stefka Fidanova, Mariya K. Durchova