matrices as input

USAGE SUMMARY

The phrase "matrices as input" is correct and usable in written English.
It can be used in contexts related to programming, mathematics, or data processing where matrices are being utilized as a form of input data. Example: "The algorithm requires matrices as input to perform the necessary calculations."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

However, as FFT requires rectangular matrices as input, we sampled, via linear interpolation, a constant number of points along the contour with respect to time.

Plosone

We transformed total abundance data into 0/1 matrices as input into the program EstimateS [48] to compute rarefaction curves, non-parametric richness estimators and several indices of alpha diversity.

Plosone

Kaur et al. [15], [16] further enhanced the performance of β-turn prediction by use of secondary structure predictions and evolutionary information in form of position specific scoring matrices as input to the neural networks (BetaTPred2 method) [17].

Plosone

We used these matrices as input for MDS.

BMC Genomics

Network inference was performed using the tool NetGenerator V2.0, employing two separate data matrices as input.

BMC Medical Genomics

We aim to overcome this problem by formulating a phylogeny independent method which uses only the nucleotide distance matrices as input.

Biology Open

Human-verified similar examples from authoritative sources

Similar Expressions

49 human-written examples

To work with image data, a data scientist will convert an image into a grid (or matrix) of red-green-blue pixel values or numbers and use these matrices as inputs to their predictive models.

Harvard Business Review

By considering the extracted feature matrices as inputs and the calculated SQ indices as outputs, a three-layer ANN model with the radial basis function (RBF) is established for mapping the stapes footplate vibration to the human auditory perception.

Applied Acoustics

For clustering methods requiring a similarity matrix as input, we used the Pearson's correlation in our initial evaluation.

Nature

Variation in prokaryote composition among biotopes was assessed with Principal Coordinates Analysis (PCO) using the cmdscale function in R with the Bray Curtis distance matrix as input.

Nature

The models use the trip matrix as input and split the matrix into separated matrices, one for each mode.

Urban Rail Transit

Expert writing Tips

Best practice

When describing algorithms or models, clearly specify the dimensions and data types of the "matrices as input" to ensure reproducibility and avoid ambiguity.

Common error

Avoid using "matrices as input" without verifying that the receiving function or algorithm is designed to handle matrix data structures. Ensure the data is properly formatted and preprocessed to meet the expected input requirements.

Linguistic Context

The phrase "matrices as input" functions as a noun phrase specifying the type of data being provided to a system or process. Ludwig AI confirms its correct usage in contexts where algorithms or models require matrix-structured data.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "matrices as input" is a grammatically sound and technically precise way to describe the data format required by various algorithms and models, predominantly in scientific and technical fields. Ludwig confirms its correct usage, highlighting its importance in specifying data structure requirements. Common alternatives include "matrix inputs" and "matrix data". When using "matrices as input", ensure that the data is properly formatted and preprocessed to meet the specific requirements of the application. Given the limited number of examples, the phrase's frequency is relatively uncommon; its usage is concentrated within scientific publications and technical documentation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

matrix inputs

This alternative uses a noun phrase to describe matrices that serve as input, offering a more concise option.

matrix-based input

This alternative emphasizes that the input is structured or derived from matrices.

matrix data

This option is shorter, referring to the data contained within matrices used for input.

matrices for processing

This alternative focuses on the subsequent use of the matrices in a processing step.

matrix format data

This option focuses on the data format.

matrix-structured data

This emphasizes data that is arranged as a matrix and then utilized.

matrix input parameters

This alternative specifies parameters being passed in matrix form.

matrix variables

This alternative uses term variables to indicate matrices.

data in matrix form

This phrase specifies the arrangement of the data.

arrays as input

This substitutes "matrices" with "arrays", a closely related concept in data structures.

FAQs

How do I properly format "matrices as input" for a machine learning model?

Ensure your data is structured as a two-dimensional array, typically with rows representing samples and columns representing features. Verify that the data types are consistent (e.g., all numeric) and preprocessed (e.g., scaled or normalized) according to the model's requirements. Consult the model's documentation for specific formatting guidelines.

What are common alternatives to saying "matrices as input"?

Alternatives include "matrix inputs", "matrix data", or "matrix-based input", depending on the desired level of conciseness and emphasis.

Is it always necessary to use "matrices as input" or are there other data structures I should consider?

The choice depends on the nature of your data and the algorithm you're using. If your data naturally forms a grid or table, "matrices as input" is appropriate. However, for other data structures consider alternatives, such as graphs, lists, or dictionaries, depending on the relationships and properties you need to model.

What are the performance considerations when using large "matrices as input" in computational tasks?

Large matrices can consume significant memory and processing power. Consider using sparse matrix representations, dimensionality reduction techniques (e.g., PCA), or parallel computing to optimize performance. Additionally, profile your code to identify bottlenecks and optimize matrix operations.