Sentence examples for as labeled data from inspiring English sources

The phrase "as labeled data" is correct and usable in written English.
It can be used in contexts related to data classification, machine learning, or data analysis where specific data points are identified and categorized.
Example: "The algorithm was trained using a dataset that included various examples as labeled data to improve its accuracy."
Alternatives: "as categorized data" or "as annotated data".

Exact(7)

The other database which we used as labeled data is the corpus used in the ISMIR 2004 audio contest [28].

Of the total corpus of 400 K, 10% of the data (40 K) was used as labeled data (L) for the first iteration of the Co-Training algorithm.

Therefore, function f rf has as input the information used by the unsupervised methods (relationships among images encoded in a distance matrix and the ranked lists), as well as labeled data provided along the relevance feedback sessions.

This is an important part of our application as labeled data will need to be specifically acquired through surveys to train the model with a collection cost largely linear with the number of labels.

Note that Co-MIML can be performed in a semi-supervised scenario; therefore, we use only 67% of the training data as labeled data and the remaining 33% are unlabeled data.

In order to validate the performance of the algorithm in paucity of labeled data, only a small number of proteins are selected as labeled data, which makes the problem very challenging.

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Similar(53)

And there will be new service-based companies that will outsource labeling to low-cost countries, as well as create labeled data through synthetic means.

Specifically, LightTag aims to solve one of the main bottlenecks of 'deep learning'-based AI development: what you get out is only as good as the labeled data you put in.

One of the subsets was used as the labeled data and the other as unlabeled data.

For the semi-supervised classification, we select p samples per subject as the labeled data samples, while the remaining formed the unlabeled data samples.

As the labeled data increase, the predictive performance of the ordinary SSL increases.

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