Linear Regression technique, Exploratory data analysis, Discretization and Resampling, Markov Blanket, Wrapper feature selection, Feature selection method using the artificial neural network, Modified Chameleon swarm algorithm, Minimum redundancy maximum relevancy and Feature importance ranking method (FIRM). Fe...
“Big Data” constructions are not inert but stand as the collective accumulation of information that is always increasing in size and scope, lending the possibility of new research questions as well as reaffirming the rationales of the initial development of the big-data data set. Yet there are...
Consequently, when she wants to express a similar meaning in German, the Dutch combinations might interfere, which could lead to language transfer such as the speaker saying gute kontaktuelle Eigenschaften instead of a more conventional expression in German such as gute Kommunikationsfähigkeiten. ...
amutha.s@vit.ac.in 1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, Tamil Nadu, India Full list of author information is available at the end of the article Abstract Tsunami is one of the deadliest natural disasters which can occur, leading to gre...
[97,103]. In the video surveillance systems, it is to find the patterns and groups of moving objects that the clustering analysis is used. Clustering similar shots into one unit eliminates redundancy and as a result, produces a more concise video content summary [116,117]. Clustering ...
The XSTREAM web server (https://amnewmanlab.stanford.edu/xstream) is executed with the parameters of moderate degeneracy, high significance, a minimum word match similarity of 0.7 and redundancy removal. We set the similarity threshold to 0.7 and a minimal total length of tandem repeat of 14 ...
The overall steps involved in the computation of optimal sensor selection by using the mRMR algorithm is described below: 1st step: Mutual information is computed between the sensors by using Equation (3). 2nd step: The relevancy and redundancy of the sensor are computed by Equations (4) and ...
In summary, the primary target of feature selection is to identify a subset of the most relevant features, while minimizing redundancy among them. Correlation analysis approaches are commonly used in machine learning to evaluate the degree of correlation between features and the prediction target. The...
in which case there will be unnecessary data redundancy in certain areas [25]. This is the basis on which the RTK‐GPS data collection for the reservoir area was implemented. Hydrology 2016, ...