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weight computation

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "weight computation" is correct and usable in written English.
It can be used in contexts related to calculations involving weight, such as in mathematics, engineering, or data analysis. Example: "The weight computation for the package was necessary to determine the shipping costs."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

38 human-written examples

However, this increases the overhead for the weight computation.

The dynamic weight computation is a four-step process.

Second, we discuss the DL MU-MIMO signal generation including the weight computation.

The weight computation scheme will be described in the next section.

A simple weight computation procedure based on the following assumption can be used.

The importance sampling concept is used for weight computation and particle propagation [15].

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Human-verified similar examples from authoritative sources

Similar Expressions

22 human-written examples

The filter is computationally expensive due to the large amount of weight computations between similar patches.

One of the most compelling strategies is to exclude many weight computations between the image neighborhood feature vectors.

The proposed heuristic algorithm is summarized in Algorithm 2. The complexity of the proposed heuristic packet selection algorithm is O(M 2 N) since it requires weight computations for the O(M N) vertices in each step and a maximal clique can have at most M vertices.

Additional file 2: Specific Term Weighting Computation.

Additional file 1: Generic Term Weighting Computation.

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Expert writing Tips

Best practice

When writing about algorithms or processes, specify the method used for "weight computation" to provide clarity and context (e.g., "dynamic weight computation" or "recursive weight computation").

Common error

Avoid using "weight computation" without specifying what weights are being computed or why. Always provide enough context to make the computation meaningful.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

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Real-world application tested

Linguistic Context

"Weight computation" functions primarily as a noun phrase, often serving as the subject or object of a sentence. Ludwig provides examples where it's used to describe a process in signal processing, machine learning, and network analysis. According to Ludwig AI, the phrase is grammatically correct and usable in written English.

Expression frequency: Common

Frequent in

Science

95%

Formal & Business

3%

News & Media

1%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "weight computation" is a grammatically sound noun phrase predominantly used in formal and scientific contexts. As Ludwig highlights, it refers to the process of calculating or determining weights, particularly in fields like signal processing, machine learning, and network analysis. While alternatives such as "weight calculation" and "weight assessment" exist, "weight computation" specifically implies a more intricate or algorithmic approach. To ensure clarity, it's best practice to specify the method used for the computation. The phrase is common in scientific literature, with the EURASIP Journal on Advances in Signal Processing being a prominent source.

FAQs

What does "weight computation" mean in signal processing?

In signal processing, "weight computation" refers to the process of determining the coefficients applied to different signal components, often to optimize performance in tasks like beamforming or filtering. These "weight calculations" are crucial for achieving desired signal characteristics.

How is "weight computation" used in machine learning?

In machine learning, "weight computation" is fundamental to training models. It involves adjusting the weights assigned to different features or connections in a neural network to minimize prediction errors. Techniques like gradient descent are commonly used for this "weight assessment".

What's the difference between "weight computation" and "weight calculation"?

While "weight computation" and "weight calculation" are often used interchangeably, "computation" might imply a more complex or algorithmic approach, whereas "calculation" can refer to a simpler, direct computation. In practice, the distinction is subtle and context-dependent.

Can you give an example of "weight computation" in network analysis?

In network analysis, "weight computation" might involve assigning weights to nodes or edges based on their importance or connectivity. For instance, in a social network, the "weight determination" could be based on the number of connections a person has or the strength of those connections.

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Most frequent sentences: