Examples of 'labeled data' in a sentence
Meaning of "labeled data"
labeled data: This term refers to data that has been categorized, tagged, or classified with labels or annotations. It is often used in the context of machine learning and data analysis
How to use "labeled data" in a sentence
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labeled data
Supervised machine learning requires labeled data.
The labeled data was fed to a supervised learning algorithm.
Supervised learning depends on previously labeled data.
Utility of weakly labeled data sources.
Labeled data is harder to create than unlabeled data.
This kind of learning data is called labeled data.
It requires a lot of labeled data that can be expensive to collect.
This approach requires labeled data.
Labeled data is thus fallible the way that human labelers are fallible.
Especially when it is expensive to obtain fully labeled data.
Have enough labeled data.
Supervised feature learning is learning features from labeled data.
Each of the account in the labeled data is labeled as either malicious or benign.
Cluster analysis does not require using previously labeled data.
It will not learn by using a labeled data set of inputs and outputs.
See also
This kind of algorithms depends mainly on previously labeled data.
This is an important benefit because unlabeled data are more abundant than labeled data.
One of the obstacles to classification is the lack of available labeled data.
The original labeled data is divided into three separate classes for illustration purposes.
Machine learning techniques usually rely on large labeled data sets.
This technique uses small quantities of labeled data and a bigger amount of unlabeled data.
Supervised learning occurs when machines are trained with labeled data.
This network has been trained with labeled data for which the input genotype is known.
The unsupervised learning technique is used when we do not have labeled data.
The labeled data has meaningful tags that help the algorithms to understand the data.
One drawback of this approach is the need for numerous labeled data to learn from.
Once labeled data is ready, the algorithmic training process makes extremely intensive computational demands.
LeCun of Facebook believes that researchers will not be forced to subsist on labeled data forever.
For clustering, no labeled data is needed.
In the context of supervised learning, we have labeled data.
Therefore, labeled data was required.
Firstly, deep learning requires significant amounts of labeled data.
Two regions, each labeled data window, are shown in FIG . 9B.
In this scenario, you are providing a computer program with labeled data.
In traditional machine learning applications, one uses only labeled data to train the algorithm.
Then the network is trained further by supervised back-propagation to classify labeled data.
In many cases, AI systems must be trained with labeled data to function.
In this case, a collection of pixels that identify a person based on previously labeled data.
We rely almost entirely, on hand curated human labeled data sets.
FIG . 11 is a flowchart of a method of generating an initial set of labeled data.
In Supervised Learning, we train a model using a labeled data set.
These approaches, however, tend to require costly labeled data.
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They have labeled him as a rogue officer
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Please ensure it is labeled with your name
