output distribution

USAGE SUMMARY

The phrase "output distribution" is correct and commonly used in written English.
It refers to the pattern or dispersal of results or outputs in a given system or process. An example sentence could be: "The output distribution of the marketing campaign was heavily skewed towards older demographics, indicating a need for targeted messaging aimed at younger audiences."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

More specifically, the method of representing output distribution b j in Equation 1 is different.

EURASIP Journal on Advances in Signal Processing

Example 1: this case is constrained under the condition that output distribution is symmetrical.

EURASIP Journal on Wireless Communications and Networking

Therefore, the output distribution at different wind speed levels can be obtained as follows.

Journal of Modern Power Systems and Clean Energy

A softmax layer was implemented to get the output distribution of the moving commands.

Robotics and Biomimetics

Instead of using the system output signal, the output distribution is adopted for shape control.

Journal of the Franklin Institute

The reliability and robustness of the system in terms of stability can also be quantified by the approximated output distribution.

Journal of Sound and Vibration

Example 3: this case is constrained under the condition that output distribution is a symmetrical flat-top beam.

EURASIP Journal on Wireless Communications and Networking

Referring to the load error distribution [16, 17], the description of wind output distribution is shown in Fig. 2.

Journal of Modern Power Systems and Clean Energy

In addition, the forecasted wind output distribution is provided, including forecast point value and the statistical deviation.

Journal of Modern Power Systems and Clean Energy

Each of the monophones used for HMM-decoding consists of 3 emitting states with a 24-Gaussian mixture output distribution.

EURASIP Journal on Audio, Speech, and Music Processing

The frame-level modeling of GPR removes the inaccurate stationarity assumption of state output distribution in HMM-based synthesisnthesynthesis

EURASIP Journal on Audio, Speech, and Music Processing

Expert writing Tips

Best practice

When discussing simulations or models, clearly define what constitutes an "output" before analyzing its distribution. This ensures the analysis is focused and meaningful.

Common error

Avoid using "output distribution" when you actually mean the average output value. The distribution describes the entire range and frequency of outputs, not just the central tendency.

Linguistic Context

The phrase "output distribution" functions primarily as a noun phrase. It represents a statistical concept describing the spread and frequency of values resulting from a system or process. Ludwig AI confirms its use in various scientific and technical contexts.

Expression frequency: Very common

Frequent in

Science

98%

Formal & Business

1%

News & Media

1%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "output distribution" is a common noun phrase primarily used in formal and scientific contexts to describe the spread and frequency of results from a system or model. As Ludwig AI confirms, its usage spans across various scientific domains. Related phrases include "result dissemination" and "outcome variance", although they carry slightly different nuances. When using "output distribution", be sure to avoid confusing it with simple averages and precisely define what an "output" represents in your analysis. Understanding the concept is essential for accurate data interpretation and modeling.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

result dissemination

Focuses on how the results are spread or shared, not necessarily the pattern of those results.

yield allocation

Emphasizes the allocation of the yield, implying a deliberate distribution strategy.

outcome variance

Concentrates on the degree of variability in the results, rather than the overall spread.

production apportionment

Highlights the proportional division of production among different recipients or categories.

performance variability

Highlights fluctuations in performance, rather than a fixed distribution pattern.

product dispersal

Focuses on the scattering or spreading of the product, changing the connotation from statistical to spatial

generation pattern

Focuses on the arrangement or design in which something is generated, shifting the focus.

achievement stratification

Describes how accomplishments are layered or ranked, introducing a hierarchical aspect.

production arrangement

Emphasizes the ordering or layout of the products.

delivery logistics

Refers to the practical aspects of delivering outputs, instead of the theoretical spread.

FAQs

How is "output distribution" used in data analysis?

In data analysis, "output distribution" describes the range and frequency of values produced by a model or system. It's crucial for understanding variability and uncertainty in results.

What's the difference between "output distribution" and "probability distribution"?

"Output distribution" refers to the observed spread of results from a specific process or model. "Probability distribution" is a theoretical function that describes the likelihood of different outcomes.

How can I visualize the "output distribution" of my simulation?

Common visualizations for "output distribution" include histograms, box plots, and kernel density estimations. These methods help show the shape, center, and spread of the data.

In machine learning, how does the "output distribution" affect model selection?

The expected "output distribution" influences the choice of loss function and model architecture. For example, models predicting probabilities use different loss functions than those predicting continuous values.