sparse approach

USAGE SUMMARY

The phrase "sparse approach" is correct and usable in written English.
It can be used to describe a method or strategy that is minimalistic or characterized by a lack of excess or density. Example: "In our research, we adopted a sparse approach to data collection, focusing only on the most relevant variables."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

The sparse approach is chosen since the intention is not to reconstruct the entire disparity field but to find large range disparities in frames; as a byproduct, edge sparseness enables more rapid and efficient estimation of disparity statistics.

EURASIP Journal on Image and Video Processing

The sparse approach of Italian pizza making is forgotten in the name of multiculturalism.

Vice

However, she found that Lie also added, subtracted, and modified contents; she noted his more sparse approach to description and the introduction of a new character, Thio Tian, who had lived in Java.

Wikipedia

We decided to use a sparse approach (sparsity in the features) although it is a mixed blessing.

Behavioral and Brain Functions

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

After the sparse approaching phase, the tonal range has a little bias in the histogram.

EURASIP Journal on Advances in Signal Processing

There are very sparse approaches about cloud services on streets and their problems to transfer data from RSU to Vehicles [10].

Vietnam Journal of Computer Science

The performance of OMP is evaluated on synthesized and real-world datasets: we found that the greedy algorithm is overall more robust to non-Lambertian errors than other state-of-the-art sparse approaches with little loss of efficiency.

EURASIP Journal on Image and Video Processing

An alternative approach could be using sparse approaches, for instance L1-regularization or point-mass mixture priors (West, 2003), in applications where the clustering assumption is unrealistic.

Bioinformatics

The simulation study showed that the sMBPLS method can accurately identify embedded multi-dimensional modules and remarkably outperforms the non-sparse approach.

Bioinformatics

On the worldwide population HGDP panel, the proposed sparse Laplacian approach not only outperforms the PCA approach on the population membership prediction, the set of selected markers is strikingly less redundant than that by PCA.

Plosone

In contrast, the sparse coding approach allows the sparseness to be adjusted (to some degree of course, since if set too high it may lead to stability and numerical issues) and optimized with respect to the data.

EURASIP Journal on Audio, Speech, and Music Processing

Expert writing Tips

Best practice

When describing research methodologies or strategic planning, use the "sparse approach" to convey a deliberate choice to minimize complexity and maximize efficiency. For example, "The research team adopted a "sparse approach" to data collection, focusing on key indicators to reduce costs and processing time."

Common error

Avoid using the "sparse approach" when a simpler term like "minimalist" or "efficient" would suffice. The phrase is most effective in technical or strategic discussions where the concept of sparsity is specifically relevant. For example, do not say "He took a "sparse approach" to decorating his house"; instead, use "minimalist style" or another, more suitable phrase.

Linguistic Context

The phrase "sparse approach" functions as a noun phrase, where "sparse" acts as an adjective modifying the noun "approach". It describes a specific type of approach characterized by minimalism and efficiency. Ludwig AI validates its correct usage.

Expression frequency: Rare

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "sparse approach" is a grammatically correct and usable term in English, denoting a method characterized by minimalism and efficiency. Ludwig AI confirms its validity. While relatively rare, its usage is primarily concentrated in scientific and technical contexts, where it describes strategies that prioritize resourcefulness and targeted application. Alternatives such as "minimalist method" or "lean strategy" may be suitable depending on the specific context. When using "sparse approach", ensure it aligns with discussions about efficiency and strategic reduction, avoiding overuse in general contexts where simpler terms would suffice.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

minimalist method

Emphasizes simplicity and reducing something to its essential elements.

lean strategy

Highlights efficiency and the elimination of waste or unnecessary components.

selective technique

Focuses on choosing specific elements or aspects and omitting others.

targeted method

Implies focusing on particular areas or goals.

streamlined process

Suggests making a process more efficient and straightforward, removing unnecessary steps.

focused approach

Highlights the concentration of resources or attention on a specific objective.

economical strategy

Implies using resources sparingly and efficiently to achieve a goal.

abbreviated procedure

Denotes a shortened or condensed process.

condensed methodology

Indicates a methodology that is reduced in scope or detail.

essentialist tactic

Focuses solely on what is most important or fundamental.

FAQs

How can I effectively use "sparse approach" in a sentence?

The phrase "sparse approach" is best used to describe methodologies or strategies that prioritize efficiency by minimizing complexity or data input. For example, "We employed a "sparse approach" to feature selection in our machine learning model."

What are some alternatives to "sparse approach"?

You can use alternatives like "minimalist method", "lean strategy", or "selective technique" depending on the context.

In what contexts is the phrase "sparse approach" most appropriate?

The "sparse approach" is particularly relevant in scientific, technical, and strategic contexts where efficiency and minimalism are key considerations. This includes fields like data science, engineering, and resource management.

What does it mean to take a "sparse approach"?

Taking a "sparse approach" means deliberately choosing a method that uses the least amount of resources, data, or complexity necessary to achieve a desired outcome. This often involves carefully selecting essential elements and omitting the rest.