Since the number of features in this study is high, we conducted feature selection to decrease the size of the features by omitting the non-effective features.
This might be explained by the fact that the lipophilic feature tends to decrease the leakage of the drug into the external aqueous medium, leading to improved drug content in the nanoparticles (which is consistent with the previous report) [19].
Instead of complex spatial geometries and sample strategies, simple periodic geometric features are applied to decrease the required mixing distances.
A diagnostic sensing strategy whereby output-only transmissibility features are used to decrease the order of high order structural dynamic measurements is also described.
Considering the sparsity of mass spectra, a nonzero feature-selection strategy is proposed to decrease the feature dimensionality of mass spectra.
The main feature of this method is to decrease the dimensions of the matrix involved in the finite element methods and certain other analytical methods.
Based on the theory of thermal effect on magnetic properties, the longitudinal RMS of MBN signals divided by the transverse RMS, called longitudinal and transverse ratio (LTR), is proposed as a new feature for track stress measurement to decrease the thermal effect on MBN signals.
The aim of the presented sequential selection algorithm is to decrease the feature space, D = x 1, x 2,…,x n, to a subset of features, D − n.
Although energy, F0, and MFCCs were used as frame-level features in this work, words and topics can be derived from other frame-level features or modalities and be combined to decrease the confusion between happy-angry and neutral-sad emotions and lead to further improvements.
In order to decrease the dimensionality of feature vector, five statistical parameters were used.
