Sentence examples for build a classifier to from inspiring English sources

If the company intends to use customers' data to build a classifier to predict what kinds of customers are likely to participate in what kinds of tours; then a requirement arises immediately is how to design a new classification algorithm to classify the multi-valued and multi-labeled data.

The authors used supervised learning techniques to build a classifier to estimate the credibility of tweets.

"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.

To predict conditions of peroxisome proliferation using biclusters, we used conditional co-expression features to build a classifier to predict conditional dynamics of peroxisome proliferation.

As a first step toward an eventual translational application, we build a classifier to predict gene up-regulation based on promoter methylation and CpG content, which achieves a performance of 0.77 AUC.

We built a classifier to make privacy decisions on the user's behalf by detecting when context has changed and, when necessary, inferring privacy preferences based on the user's past decisions and behavior.

Based on this correlation, we built a classifier to predict the malignancy of GB using deep sequencing with a next-generation sequencer.

In stage 2, we built a classifier to further divide the "Gene-related" class into four categories of genetic lesion status.

The second reason is the strategy of using the combination of small sets of specific genes to build a classifier able to differentiate simultaneously low- and high-grade malignant tumours.

In general a binary learning (two-class) approach to miRNA discovery considers both positive (miRNA) and negative (non-miRNA) classes by providing examples for the two classes to a learning algorithm in order to build a classifier that will attempt to discriminate between them.

Using a top-down approach (i.e. using differentially expressed genes to build a classifier) improved prediction accuracy to 80.9% ±2.2%