input observations

USAGE SUMMARY

The phrase "input observations" is correct and usable in written English. You can use it in contexts related to data collection, analysis, or research where observations are being fed into a system or process. For example, "The algorithm processes the input observations to generate predictions." Alternative expressions include "data observations" and "input data."

✓ Grammatically correct

Science

Data analysis

Machine learning

Human-verified examples from authoritative sources

Exact Expressions

21 human-written examples

That is, DBM can generate more structured and abstract representations of input observations.

Data Science and Engineering

Pre-training overcomes this limitation and provides a better starting point using the input observations only.

EURASIP Journal on Audio, Speech, and Music Processing

Then, we freeze the obtained parameters of CRSM and its hidden layer configuration for the given input observations is inferred.

Data Science and Engineering

In batch-based training protocol, all input observations are presented to the model before the parameter update takes place.

Data Science and Engineering

From the previous section, it is well understood that RBMs only deal with input observations from a Bernoulli distribution.

Data Science and Engineering

Thus, RBM is a powerful generative model capable to capture the covariance structure present in the given input observations in a completely unsupervised fashion.

Data Science and Engineering

Human-verified similar examples from authoritative sources

Similar Expressions

39 human-written examples

This paper presents the application of a linear state and input observation approach to a non-input-affine nonlinear MIMO system.

IFAC Proceedings Volumes

In addition, the results of X and Y estimated locations are decoupled as individual input (observation) of h for location tracking in Figure 4.

EURASIP Journal on Advances in Signal Processing

For the first model, the input observation trajectories (y t ) during the tests were exactly the same as the ones used in [21] to ensure a fair comparison.

EURASIP Journal on Advances in Signal Processing

In their model, ANN was used to transform the input observation sequences of HMM and the GA was used to optimize the initial parameters of the HMM.

Journal of Industrial Engineering International

This ensures an approximately linear relation between the output activities of the RNN and the posterior probabilities of each phonetic class, given the input observation.

EURASIP Journal on Audio, Speech, and Music Processing

Expert writing Tips

Best practice

When writing about machine learning or statistical modeling, clearly define what constitutes your "input observations". This ensures reproducibility and clarity in your methodology.

Common error

Avoid using "input observations" interchangeably with "data sources". "Input observations" refers to the specific data points used in a model or analysis, while "data sources" refers to where that data originates. Be precise to prevent ambiguity.

Linguistic Context

The phrase "input observations" functions primarily as a noun phrase. It typically acts as the subject or object of a sentence, referring to the data being fed into a system or process. Ludwig AI confirms its correct usage in scientific and technical contexts.

Expression frequency: Common

Frequent in

Science

70%

Formal & Business

15%

News & Media

10%

Less common in

Encyclopedias

3%

Wiki

1%

Reference

1%

Ludwig's WRAP-UP

In summary, "input observations" is a noun phrase commonly employed in scientific and technical fields to denote the data fed into a system or model. Grammatically sound and versatile, it clearly identifies the information being processed. Ludwig AI analysis confirms its correct usage. When writing, ensure you clearly define what constitutes your "input observations" to maintain clarity and reproducibility. While versatile, consider more specific terms if the context warrants it. Avoid the common pitfall of using "input observations" interchangeably with "data sources". "Input observations" specifically identifies the exact values you give as input of an process/analysis.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

observed inputs

Reverses the order of the words while retaining the core meaning of observed data used as input.

data inputs

Uses the broader term "data" instead of "observations", which is more general.

recorded measurements

Replaces "observations" with a more specific term implying quantitative data.

collected data points

Emphasizes the individual data points that make up the input.

gathered insights

Highlights the aspect of gaining information from the input.

source readings

Focuses on the origin of the data as readings from a source.

initial datasets

Indicates that the observations are structured as datasets used at the beginning of a process.

primary metrics

Uses a more technical term for the observations, implying they are key performance indicators.

raw sensory data

Specifies that the input is unprocessed data received from sensors.

incoming signals

Emphasizes the dynamic nature of the observations as signals received by a system.

FAQs

How are "input observations" typically used in a sentence?

Typically, "input observations" are the data points fed into a model or system for analysis. For example, "The algorithm processes the "input observations" to generate predictions".

What's a good alternative to "input observations" in a research paper?

Depending on the context, you can use alternatives like "data inputs", "recorded measurements", or "collected data points" to maintain clarity and avoid repetition.

Is "input observations" formal enough for academic writing?

Yes, "input observations" is suitable for academic and scientific writing. It's a precise and widely understood term in these fields. However, consider if a more specific term like "raw sensory data" or "initial datasets" might be more appropriate.

What's the difference between "input observations" and "data sources"?

"Input observations" refers to the specific data used in an analysis, while "data sources" refers to the origin of that data. They are related but distinct concepts.