sparseness
- noun
- /ˈspɑːr.sən.nəs/
- Specialized
- The sparseness of the matrix made it easier for the algorithm to process the data efficiently.
- sparseness of the matrix
Examples
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Figure 3 shows the correlation between the sparseness of the matrices and the benefit yielded by blocking and prefetching.
Academic text (1997) -
This difference, which is mostly due to differences in the sparseness of the matrices, is explored below in more detail.
Academic text (1997) -
It's a beautiful theorem in its sparseness and the experiments together with that theorem tell us that locality is false.
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Their method suffers from sparseness of data for the first regression, which could lead to incorrect inferences.
Academic text (2016) -
Our method not only gives robust estimates of observed heterogeneity by addressing the issue of the sparseness of data, but also captures unobserved heterogeneity.
Academic text (2016) -
On an IBM RS/6000 workstation, the combined effect of the four techniques can improve performance from about 15 MFLOPS to more than 95 MFLOPS, depending on the size and sparseness of the matrix.
Academic text (1997) -
Researchers noted that the sparseness of the observations could impact the accuracy of their conclusions.
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The analysis revealed a significant relationship between the sparseness of data points and the model's performance.
Synonyms
A small amount of something that is not enough
A small amount of material in a space like foam or gas
A small number or amount spread far apart
Not being full or dense, like a small crowd and a small number of hairs
A small amount of something that people need
A small number of people or things
How Sparse
- Specialized
Surface Forms
Morphology
Etymology
Sparseness comes from sparse, meaning 'thin' or 'scattered', and this image helps in data: think of a table with many empty cells or a page with only a few dots. So in computing sparseness means most values are zero or empty, not full.