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machine learning protocols

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "machine learning protocols" is correct and usable in written English.
You can use it when discussing guidelines, standards, or procedures related to machine learning processes or systems. Example: "The research team developed new machine learning protocols to improve the accuracy of their predictive models."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

Additionally, within many of these disciplines, low level programming knowledge is not abundant and scientist are often restricted to predefined machine learning protocols, wrapped in some graphical environment.

Though not presented here, we have experimented with machine learning protocols relying solely on sequence-derived features.

In all families, the two structure-based machine learning protocols perform significantly better domain separation than the sequence based nearest neighbor procedure at the 70% sequence identity level.

Various machine learning protocols are used in an effort to determine what features might be most predictive of repression and some moderate success is achieved.

Science

eLife

The article is organized as follows: first, we give the intuition behind the features used to represent the individual domains in a form suitable for constructing machine learning protocols.

Conclusions: The high accuracy of the learned models and good agreement between the rules discovered using the ADtree classifier and mechanisms reported in the literature reflect the value of machine learning protocols in both prediction and biological knowledge discovery.

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

We have recently reported a new machine learning protocol that makes it possible to measure how well a model can generate a prediction for an item (the neural representation of a particular noun) on which it has not been trained [1].

Science

Plosone

Results: We present a machine learning protocol for determining membrane-targeting properties achieving 85 90% accuracy in separating binding and non-binding domains within families.

This machine-learning protocol based on chemical features thus represents an efficient tool for screening ligands for G-protein-coupled odorant receptors that modulate non-olfactory functions or, upon combinatorial activation, give rise to our sense of smell.

Our three classes of adaptive protocols are pure machine learning, intra-protocol learning, and inter-protocol learning.

Identified criteria are grouped into five categories: correlation between proxy IP address and data location, landmark involvement in the verification process, measurements collecting, machine learning, and PDP protocol deployment.

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Expert writing Tips

Best practice

When describing a specific machine learning implementation, clearly define the "machine learning protocols" used to ensure reproducibility and clarity.

Common error

Avoid using the term "machine learning protocols" when referring to general machine learning concepts. Be specific about the exact procedures and techniques involved.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

80%

Authority and reliability

4.3/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "machine learning protocols" functions as a noun phrase, typically serving as the subject or object of a sentence. Ludwig AI shows that it is used to describe standardized procedures or sets of rules applied in the context of machine learning.

Expression frequency: Uncommon

Frequent in

Science

60%

Academia

25%

News & Media

15%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "machine learning protocols" is a noun phrase that describes the standardized procedures or sets of rules applied in machine learning. Ludwig AI confirms its grammatical correctness and primary use in scientific and academic contexts. Although the phrase is not frequently used, it is essential for defining systematic processes in machine learning research. Alternative phrases include "machine learning methodologies" and "machine learning techniques", which can be used depending on the specific context. It's important to avoid overgeneralization and to clearly define the protocols when describing a specific implementation.

FAQs

How can I use "machine learning protocols" in a sentence?

You can use "machine learning protocols" to describe a set of rules or procedures used in machine learning. For example, "The researchers followed strict "machine learning protocols" to ensure the accuracy of their models."

What's the difference between "machine learning protocols" and "machine learning algorithms"?

"Machine learning algorithms" refer to the specific computational methods used for learning, while "machine learning protocols" encompass the entire set of procedures, including data preparation, model selection, and evaluation.

Are there other terms I can use instead of "machine learning protocols"?

Yes, depending on the context, you could use terms like "machine learning methodologies", "machine learning techniques", or "machine learning procedures".

What is the importance of well-defined "machine learning protocols"?

Well-defined "machine learning protocols" are essential for ensuring the reproducibility, reliability, and comparability of machine learning experiments and results.

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Authority and reliability

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Real-world application tested

Most frequent sentences: