Sentence examples for the methodology of reducing from inspiring English sources

The methodology of reducing the size of the training set by excluding samples, both in semi-supervised or unsupervised settings, is called "data pruning" and has been previously used to avoid overfitting and improve generalisation [20], [21].

Dynamics of the piecewise smooth nonlinear oscillators is considered, for which, general methodology of reducing multidimensional flows to low-dimensional maps is proposed.

The authors propose to use the methodology to reduce the dimension of sensor data volumes to that of a single time-varying scalar measure, which is designed to emphasize possible experimental effects.

In addition, this methodology offers the advantage of reducing operational and capital costs due to minimizing the process for ethanol production by excluding expensive processes related to detoxification prior to enzymatic hydrolysis and fermentation such as washing/conditioning and solid liquid separation of pretreated slurry.

That is, the methodology of signal processing in CS reduces the number of measurements during the sampling process but still retains sufficient information.

The second step of the methodology aims at reducing the dimensionality of the data set, by selecting the most relevant features, according to a Forward selection algorithm; along with the positive effects of a lower dimensionality, analysis of the selected features is possible and gives insights on the steganographic algorithm studied.

Starting from an initially large design space, the methodology aims at reducing the dimension of the search space in each of the successive stages.

In this paper, we propose a significant extension to the methodology which reduces the hardware cost of the global controller and memory address generators by avoiding these costly operations.

The aim of the methodology is to reduce the uncertainties of the parameter estimation.

The paper presents a methodology for the design of reduced order controllers applied to a benchmark problem focused on "Design and optimisation of restricted complexity controllers" and related to the control of an active suspension.

The SVM methodology comprised reducing the pool of 30 descriptors to a smaller size by eliminating the related variables, followed by development of classification models [33, 34].