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Thus, we build a classifier that extracts "first person" tweets for each of the two topics.
Intuitively, "first person reports" should be better indicators for now-casting and we build a classifier that distinguishes those first person tweets from others.
The task is to build a classifier that produces results as close as possible to the true category assignment function F. The first step of TC is feature selection.
Given prior operational knowledge of the process, our goal is to build a classifier that can accurately label future observations obtained in the steady state by utilizing both the available prior knowledge and the training data.
A multidimensional data set composed of size, shape and distribution related metrics of cellular and sub-cellular focal adhesions is extracted to build a classifier that can, with 91-93% classification accuracy, distinguish cell shape phenotypes in 3D confined versus 2D unconfined cell states.
Rule selection : The FARM method typically extracts thousands of rules, but only a subset of these is used to build a classifier that becomes the final prediction model.
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Further, although we did not expect a positive result, as an exploratory measure we built a classifier that attempted to distinguish between metastatic tumors and non-metastatic lesions.
We first built a classifier that integrates a variety of genomic and systematic datasets to prioritize drug targets specific for breast, pancreatic and ovarian cancer.
Based on the symmetrical Haar-like features which were extracted from tongue images, they built a classifier that can distinguish the case and control subjects.
To test this we built a classifier that would predict if yeast would proliferate peroxisomes under certain conditions based on whether or not experiments performed under those conditions were included or excluded from biclusters.
The objective of this study is to find important molecular markers and/or build a classifier such that the classifier with selected markers as the independent variables can accurately classify the diagnostic disease status of a sample using expression data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com