sparsity
IPA: spˈɑrsɪti
noun
- The property of being sparse; sparseness.
Advertisement
Examples of "sparsity" in Sentences
- Donation is a method of overcoming sparsity.
- It handles the sparsity better than memory based ones.
- The debate continues because of the sparsity of the evidence.
- I think the sparsity of the data is especially important to note.
- Elements eliminated by sparsity shown is marked with transparency.
- Elements are eliminated by sparsity shown marked with transparency.
- This property of multi dimensional spaces is referred to as sparsity.
- Conceptually, sparsity corresponds to systems which are loosely coupled.
- The sparsity of graves in the early period may suggest partial cremation.
- The goal is to seek what's called sparsity, a measure of image simplicity.
- The House voted 55-15 to pass SB88, which continues so-called sparsity aid.
- It is not because of its lack of notability, but simple sparsity of information.
- SIR LAWRENCE FREEDMAN: Again, we have heard that the intelligence estimates used the words ‘sporadic and patchy’, they definitely referred to the sparsity of good intelligence on Iraq.
- Another way of looking at it is to suggest that it resembles other post-industrial areas of the UK such as South Yorkshire and Merseyside, or areas with a mix of sparsity and post-industry, such as Cornwall.
- "Another way of looking at it is to suggest that it resembles other post-industrial areas of the UK such as South Yorkshire and Merseyside, or areas with a mix of sparsity and post-industry, such as Cornwall."
- The Barnett Formula takes no account of the amounts raised by taxation in each of the home nations, nor the relevant 'fiscal need' based on factors such as sparsity of population, cost of travel, unemployment rates, and health factors in each "province".
- Of course you can always say that the picture isn't nearly complete it would take a large team and tons of money to investigate anything close to all of the Earth´s languages even for a single feature, but both in terms of topics and languages covered, I don't think "sparsity" is a valid characterization.
- This is due both to the sparsity of the data (quarterly data do not give us the luxury of many observations that micro panels provide) and to the flexibility of DSGE models in generating similar behavior with relatively different combination of parameter values (every time you see a sensitivity analysis claiming that the results of the paper are robust to changes in parameter values, think about flat likelihoods). and another: