Scheduling computer and manufacturing processes
Scheduling computer and manufacturing processes
Operating Systems (5th Edition)
Operating Systems (5th Edition)
Ranked modelling with feature selection based on the CPL criterion functions
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
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Scheduling procedures allow to determine the order of realization of particular tasks of a given complex process. The order of such tasks can be represented as a ranked relation between some of them. Ranked models have the form of linear transformations of multivariate feature vectors on a line which preserve in a satisfactory manner a given set of ranked relations between components. The linear ranked transformations can be designed through minimization of adequate CPL criterion functions. Theoretical properties of this approach to scheduling and their applications are discussed in the paper.