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Justyna Jupowicz-Kozak

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uncertainty of feature

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "uncertainty of feature" is grammatically correct but may not be commonly used in written English.
It can be used in contexts discussing ambiguity or lack of clarity regarding a specific characteristic or aspect of something. Example: "The uncertainty of feature in the new software update has left many users confused about its capabilities."

✓ Grammatically correct

Science

Formal & Business

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Figure 12 71st frame: the image depth uncertainty of feature 10 decreases to a small region.

In these algorithms, fuzzy c-means (FCM) algorithms, which can get the degree of uncertainty of feature data belonging to each class and expresses the intermediate property of their memberships, have been widely used in the change detection [8, 10, 12, 21 24].

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

By performing a direct observation of the pre-existing feature using machine vision, the uncertainty of the feature location can be circumvented.

The value of the entropy indicates that the uncertainty of the feature at the pixel position of the Gabor features with m th scale and n th orientation for all training images.

In the following, it is assumed that the feature extraction has already been performed, so that the uncertainty of the feature estimation within each class can be modeled by a probability distribution, e.g., the Gaussian.

Figure 27 621st frame: the object stops moving and the image depth uncertainty of the feature is reduced.

The entropy value of the distribution is measured to determine the uncertainty of each feature prior to ranking, according to their relevance in determining different classes [32].

Information entropy that measures the uncertainty of a feature variable f i is calculated as (6) H f i = − ∑ j = 1 n P f i j log 2 ⁡ P f i j, where P(f i j ) represents the prior probability of f i j.

Thus FA is able to deal with the uncertainty of extracted features in gearbox condition monitoring, since the gearbox degradation process under complex operating conditions (such as accumulation of fatigue, crack propagation, wear) may be subject to uncertainty and changeable operations.

More in detail, it is based on the knowledge of the uncertainty of the features constituting the 3D image (obtained processing a pair of two 2D stereoscopic images) and on a suitable statistical approach providing a confidence level to the classification result.

To give a concrete mathematical structure to the problem, recent work has utilized a Bayesian modeling framework based on an uncertainty class of feature-label distributions to both optimize and analyze error estimator performance.

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Expert writing Tips

Best practice

When discussing the "uncertainty of feature" in technical writing, clearly define what aspect of the feature is uncertain (e.g., location, value, behavior) to avoid ambiguity. For example instead of saying "the uncertainty of feature increased", be specific and say "the uncertainty of the location of feature increased".

Common error

Avoid using "uncertainty of feature" without specifying the source or type of uncertainty. Vague statements can lead to misinterpretations. Always provide context to clarify what causes the uncertainty.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "uncertainty of feature" functions as a noun phrase, acting as the subject or object of a sentence. It describes the state of doubt or imprecision associated with a particular characteristic, aligning with Ludwig's assessment and examples from scientific literature.

Expression frequency: Rare

Frequent in

Science

70%

Formal & Business

15%

News & Media

15%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "uncertainty of feature" is a grammatically correct phrase, though not commonly used. According to Ludwig AI, it is suitable for contexts where ambiguity or a lack of clarity regarding a specific characteristic is discussed. Its primary function is to describe a state of doubt or imprecision, predominantly in formal and scientific settings. When using this phrase, it's essential to specify the source and type of uncertainty to avoid vagueness. Alternatives include "feature ambiguity", "lack of feature clarity", and "feature variability". Despite its infrequent usage, it's valid in technical and scientific writing when precision is valued.

FAQs

How can I use "uncertainty of feature" in a sentence?

You can use "uncertainty of feature" to describe situations where a particular characteristic or attribute is not clearly defined or is subject to variation. For example: "The high "uncertainty of feature" location made accurate mapping difficult."

What are some alternatives to "uncertainty of feature"?

Alternatives include "feature ambiguity", "lack of feature clarity", or "feature variability", depending on the specific context.

Is "uncertainty of feature" grammatically correct?

Yes, "uncertainty of feature" is grammatically correct, though it's more common in technical or scientific contexts. It's used to describe the degree of doubt or variability associated with a particular attribute.

What does "uncertainty of feature" mean in the context of machine learning?

In machine learning, "uncertainty of feature" might refer to the degree of confidence in the value or relevance of a specific feature used for training a model. High uncertainty could indicate that the feature is noisy, unreliable, or not strongly correlated with the target variable.

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Most frequent sentences: