Sentence examples for construct a classifier for from inspiring English sources

It should be noted that we have to construct a classifier for each secondary quality factor QF2 because of the unknown primary quality factor QF1. Thus, we obtained eight different two-class classifiers corresponding to each value of QF2 (QF2 ∈ {60, 65,...95} 95}) in our experiment.

In the third step, temperature data were then used to construct a classifier for detecting the trends.

We construct a classifier for each anatomical component and formulate our multi-class problem as a two-class problem.

In the initial attempt to construct a classifier for protein stability prediction, the window size was set to eleven (w = 11).

We next integrated three clinicopathologic characteristics (tumour diameter, tumour multiplicity, and TNM stage) with six cytokines (FGF-2, GRO, IL-8, IP-10, VEGF, and IFN- α2) into CBPC to construct a classifier for the prediction of HCC recurrence on the training cohort.

The data are analysed applying a statistical pattern recognition (SPR) technique, based on support vector machines, which is used to construct a classifier from two groups of qEEGs, for example, qEEGs from groups A and B. 10 When an EEG is classified, the classifier returns an index, the A B index, with a value between 0 and 1.

After the feature selection procedure, we constructed a classifier for each combination of the nine selected lncRNAs using the nearest shrunken centroid algorithm.

We have developed a new methodology based on Machine Learning techniques to construct a classifier in real time for classifying MEDLINE papers.

The alternating decision tree algorithm is used both for identifying discriminating biological features that could be used for assessing protein interaction reliability and for constructing a classifier to identify true positive interacting pairs.

There are many strategies for constructing a classifier ensemble, with examples including the use of different training data sets, different feature subsets, various types of individual classifiers, and different fusion rules.

These algorithms mainly aim to select a minimum set of voxels necessary for constructing a classifier with the best predictive accuracy [19].