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We use the maximum likelihood estimator for each attribute using a training dataset.
Typically published literature has focused on optimizing ANN using a training dataset to train the network and a testing dataset to evaluate it.
The approach feasibility is demonstrated by using a training dataset of computer tomography scans from British subjects aged 25 106 years (75 male and 34 female).
It "teaches" a machine to solve a problem using a training dataset; i.e. a set of input data with corresponding, labelled output data.
Using a training dataset of 1500 cases (examinees) and 45 test items, the proposed approach automatically selected only 12 items which classified an evaluation population of 500 cases with 91% accuracy.
Many action recognition and 3D body tracking works rely on proper models of human motion, which constrain the search space using a training dataset of prerecorded motions [7 10].
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One recent interesting approach is to use a training dataset to inform how respiratory motion can be gated using list mode PET data itself, although this requires a short acquisition after the completion of the study [5].
The algorithm uses a training dataset to learn patterns and finally use those patterns to classify new cases.
To estimate parameters for the power calculation we use a training dataset from Indonesia that is part of an ongoing evaluation of the World Bank's Water and Sanitation Program's (WSP) Total Sanitation and Sanitation Marketing campaign [ 42].
Analogous to the approach for continuous outcomes, we use a training dataset with repeated outcome measurements at the cluster-level to estimate the log-odds of baseline diarrhea prevalence, and the cluster-level variability,.
To estimate the variability of the HAZ scores at the village and child level, we use a training dataset from a longitudinal cohort study in India, where up to two HAZ measurements are available for 1,236 children in 25 rural villages [ 44].
More suggestions(15)
using a training sequence
using a uniform dataset
using a training set
using a training algorithm
using a toy dataset
using a test dataset
using a training data
using a panel dataset
using a training symbol
using a reference dataset
using a development dataset
using a microarray dataset
using a training sample
using a training plan
using a novel dataset
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com