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intrinsic data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "intrinsic data" is correct and usable in written English.
It can be used in contexts where you are discussing data that is inherent or essential to a particular system or process. Example: "The analysis of intrinsic data is crucial for understanding the underlying patterns in the dataset."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

19 human-written examples

The Manifold Ranking algorithm [20] was proposed aiming at ranking the objects with respect to the intrinsic data distribution.

Furthermore, probabilistic cryptosystems cause an intrinsic data expansion due to the adoption of randomizing parameters in the encryption function.

The intrinsic data flow direction in multi-hop cluster based sensor networks causes uneven load distribution in the network.

Moreover, FA is invariant to the component-wise rescaling of the feature space for input data by preserving the intrinsic data structures (Bishop 2006).

In general, a reasonable amount of intrinsic data is available, but extrinsic data are lacking; more research is needed for the hydrides to be used in practical applications.

Also, intelligent pipeline scheduling mechanism is proposed to break the intrinsic data dependency in intra prediction, which is directly related with mode decision.

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Human-verified similar examples from authoritative sources

Similar Expressions

41 human-written examples

Contrary to external validation, internal clustering validation is based only on the intrinsic information of the data.

(Note: the metastate HMM uses only the intrinsic information in the data making no use of extrinsic information, such as ESTs, protein homology, etc).

In filter methods, attributes are categorised according to the intrinsic information of the data and it is independent of the classification algorithm [15].

Internal cluster indices evaluate the quality of a clustering result by using only intrinsic information of the data.

Together with classic prognostic factors, the intrinsic subtype data provide information with which to appraise the total recurrence risk for a given patient.

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Expert writing Tips

Best practice

When analyzing "intrinsic data", clearly define the scope and boundaries of what you consider intrinsic to avoid ambiguity in interpretation.

Common error

Avoid using "intrinsic data" when you actually mean extrinsic data. Intrinsic refers to inherent properties, while extrinsic refers to external or added information. Mistaking the two can lead to misinterpretations.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.4/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "intrinsic data" functions as a noun phrase, typically used as a subject or object in a sentence. Ludwig AI shows examples in academic and scientific contexts where it describes inherent or essential characteristics of a dataset or system.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "intrinsic data" refers to inherent or essential information within a system or dataset. Ludwig AI analysis confirms it's grammatically correct and commonly used, particularly in scientific and academic writing. The main challenge is distinguishing it from "extrinsic data", which is external and not inherent. To use it effectively, clearly define the scope and be mindful of potential misinterpretations. Understanding the nuances of this phrase helps ensure clarity and precision in technical and academic discussions.

FAQs

How is "intrinsic data" used in research?

"Intrinsic data" is used to analyze inherent properties and characteristics of a subject, process, or system without considering external influences. It helps to understand the fundamental nature of what is being studied.

What's the difference between "intrinsic data" and "extrinsic data"?

"Intrinsic data" refers to information that is inherent and internal to a system or object, while "extrinsic data" refers to information that is external and not naturally part of that system or object.

What are some examples of "intrinsic data" in machine learning?

In machine learning, examples of "intrinsic data" include feature distributions, data correlations, and inherent patterns within the dataset, which algorithms use to learn and make predictions.

How can I improve the quality of "intrinsic data" analysis?

To enhance the quality of "intrinsic data" analysis, ensure data is accurately measured, cleaned of noise, and appropriately preprocessed to reveal meaningful underlying patterns.

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Source & Trust

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Authority and reliability

4.4/5

Expert rating

Real-world application tested

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