Selection of the Informative Input Parameters for the Inverse Neural-Network Models of Observed Systems
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DOI: 10.1007/s10958-018-3844-7
Abstract: We consider the problem of determination of the parameters of a measurement grid, which guarantees the exactness and stability of the solution of the inverse problem. The choice of the points of measurements is performed… read more here.
Keywords: input parameters; parameters inverse; selection informative; inverse neural ... See more keywords
Linear classifiers and selection of informative features
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DOI: 10.1134/s1054661817030336
Abstract: In this work, to construct classifiers for two linearly inseparable sets, the problem of minimizing the margin of incorrect classification is formulated, approaches to achieving approximate solution, and calculation estimates of the optimal value for… read more here.
Keywords: classifiers selection; selection informative; informative features; linear classifiers ... See more keywords
Selection of the Informative Feature System for Crops Classification Using Hyperspectral Data
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DOI: 10.3103/s8756699020040032
Abstract: The methods based on processing video data have shown their efficiency in many areas of agriculture and forestry. Nevertheless, they are not enough accurate for classification of barely discernible objects and types of plants, which… read more here.
Keywords: feature system; using hyperspectral; informative feature; classification ... See more keywords