Sentence examples for explain classification from inspiring English sources

In Section 3.1, we explain classification tests regarding every stage of the proposed system for determining the number of Gaussian components that offers the highest recognition rate.

We consider an integrated subsymbolic symbolic procedure for extracting symbolically explained classification rules from data.

PWP had increased ERD response for all three types of motor imagery, not only for MI of feet, that could explain why classification between feet and one of the hands was comparable to classification between both hands.

Sections 2.2 2.3 explain the classification of one-dimensional CA proposed by Stephen Wolfram.

This was observed in our study when students used multiple rationales to explain their classification decisions.

Due to A ring aromaticity, estrone is more testosterone-like and this could explain its classification in this third group.

These factors may help explain incorrect classification of iodoform and methyl isocyanate, which are small volatile molecules with inactive qHTS profiles but are known to be toxic in vivo.

Generating this potentially crucial information for a given data set would require supplementing for instance the MCC algorithm of Wang and co-workers with, e.g. a clustering of samples based on, e.g. local variable importance or RF proximity scores and subsequently selecting the variables and/or variable interactions that explain the classification of a given subset of samples of the same class.

We also have expanded the figure legend of Figure 3C to better explain our classification 5) The authors present data suggesting that hyperstabilization by depletion of CENP-H abolishes the alignment bias but that "mild" stabilization by MCAK depletion does not.

The classification of the existing routing protocols is explained in "Classification of routing protocols" and "Future challenges and comparative analysis of routing protocols" sections gives the future challenges and a comparative analysis of different selected protocols.

The 50 feature values are created into vector, which are then used as input vectors to be explained in "Classification and visualization" section.