Sentence examples for classification in the form of from inspiring English sources

The patterning of ancient divergences that led to present-day forms can be reconstructed by comparing homologous sequences from different organisms, thereby establishing a natural classification in the form of a Tree of Life that reflects evolutionary history [2].

Of the models mentioned above, k-NN is best suited for adaptation to output the result of classification in the form of 'low', 'borderline' and 'high' risk scores.

Although the general shape of all the objects is retained, there are some very obvious mis-classifications in the form of a "speckle".

Decision tree builds regression or classification models in the form of a tree structure.

Sophisticated bispectrum-based signal processing provides the extraction of new classification features in the form of phase relationships in the radar data.

BLOG computes for each species in the reference set the distinctive nucleotide positions of the DNA Barcode sequences and the logic classification rules in the form of "if-then" that are able to characterize a species in a compact way.

One of the advantages of a classification model in the form of a decision tree is that it shows the relevant attributes selected by the algorithm (the attributes labelling the internal nodes of the tree) in a simple and intuitive hierarchical way, where attributes at the top of the tree are more relevant than attributes at the bottom.

In this paper, we experiment with four rule-based algorithms [ 51] that extract classification models in the form of logic formulas and we compare them with other state-of-the-art classifiers, such as Support Vector Machines [ 58, 69] and Nearest Neighbor [ 70].

In general, a nonlinear classification problem can be converted into a linear classification problem by an inner product kernel function K(x i, x j ) (Liu and Lin 2005), and the classification function is in the form of f(x)=operatorname{sgn}left({displaystyle sum_{i=1}^n{alpha_i}^{y}_iKleft({x}_i,{x}_jright)}+{b}^right) (7).

The extracted classification rules are in the form of IF THEN rules which can be easily understood by human.

The proposed method assumes a stress distribution along the stress classification line (SCL) in the form of limit stress state for a beam under membrane and bending load, rather than a linear stress distribution.