Sentence examples for build a classifier and from inspiring English sources

Support Vectors Machines (SVMs) were applied to build a classifier and reached a 98.5% success rate in the recognition of the different drugs analyzed.

We then used the extracted multidimensional sequences to build a classifier, and show how the patterns help to distinguish between the classes.

In order to determine the potential diagnostic utility of these differentially reactive antigens, quantified immunostrip results were used to build a classifier and accuracy was determined, as shown in Figure 6.

We conducted a stratified, 5-fold cross validation on the first data set to build a classifier, and then tested on the second data set to measure its prediction performance, and vice versa.

The overall iterative procedure is like this: starting with an initial list of GO terms with known class labels, we generate features, build a classifier and make predictions on all terms whose class label is unknown.

Each step we calculate feature scores for GO terms based on KWs and co-annotation of gene products, build a classifier and make a prediction followed by manual curation.

Each mobile node (MN) builds a classifier and trains it on data collected from the network environment.

At this point, we have a positive set P, a reliable negative set RN and a refined unlabeled set U-RN, so we can build a classifier using P and RN with any supervised learning method.

"If I was to try and build a classifier to recognize just the /p/ sound what I would have done is it's first trained on all the sounds that look the same.

The objective is to use Ω = { (x i, y i), i = 1,..., N} to select a parsimonious set of informative markers and build a classifier with these markers such that the diagnosis status of a test sample can be accurately classified by modeling the expression data of the selected markers.

The aim was to design and develop a decision support system with a graphical user interface for the prediction of the case of peripheral nerve disorder and to build a classifier using artificial neural networks that can distinguish between carpal tunnel syndrome, neuropathy and normal peripheral nerve conduction.