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Catastrophe theory is the term used to describe the systematic classification, by means of topological mathematics, of these discontinuities.
This paper is concerned with stabilizing open loop unstable fluidized bed spray granulation with external product classification by means of feedback control.
This paper is concerned with stabilizing open loop unstable fluidized bed spray granulation with internal product classification by means of low order control methods.
The classification by means of the dimension "temporal distance" depends on the categories of the dimension "geographic distance".
The classification by means of the dimension "geographic distance" depends on the categories of the dimension "location.
In this case the task of classification by means of the Adaboost algorithm may be formulated in the following manner: begin{aligned} f(x^{j})=hbox {sign}left( sum limits _{i=1}^n upalpha ^{j}b(x_i^j)right), end{aligned} (1)i.e. the decision function will be generated in such a manner as to classify images only by the jth feature ((j=1.1218)) of the whole training set (G^{l}).
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The classifications by means of the dimensions "software process type, "power distance, "uncertainty avoidance and "language distance are related to the category site of the dimension "setting.
Classifications by means of the dimensions "software process distance and "communication model are related to the category relationship of the dimension "setting.
This paper introduces an efficient Evolutionary Programming algorithm for solving classification problems by means of very interpretable and comprehensible IF-THEN classification rules.
For effective knowledge sharing, it is therefore important to have a unified classification system by means of which the bodies of knowledge that constitute the field may be compared and contrasted.
The last decade has seen the parallel emergence in computational neuroscience and machine learning of neural network structures which spread the input signal randomly to a higher dimensional space; perform a nonlinear activation; and then solve for a regression or classification output by means of a mathematical pseudoinverse operation.
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