The phrase "a large performance improvement" is correct and usable in written English.
You can use it when discussing enhancements or advancements in efficiency, effectiveness, or output in various contexts, such as technology, business, or personal development.
Example: "After implementing the new software, we noticed a large performance improvement in our processing speed."
Alternatives: "significant performance boost" or "substantial enhancement in performance."
The results further establish that four-way issue can provide up to a factor of two performance improvement over single-issue for larger L2 caches; for smaller L2 caches, out-of-order dispatch provides a large performance improvement over in-order dispatch.
Hence, the inter-cluster interference is significantly reduced in Scheme-1, leading to a large performance improvement for CEU (see Figure 4).
Consistently with the whole-genome simulations, we did not observe a large performance improvement with increasing the number of replicates for the CMH test.
However, for a more ideal parameter choice of N = 5000, H = 2500 and a long runtime of the experiment (g = 120), the BBGP gains a large performance improvement over the CMH test for s = 0.01 (see Supplementary Figs. S13 and S14) even in the difficult scenario of weak selection.
In online neural control experiments recording from a 96-electrode array implanted in M1 of a macaque monkey, the ReFIT-KF control algorithm demonstrates large performance improvements over the current state of the art velocity Kalman filter, reducing target acquisition time by a factor of two, while maintaining a 500 ms hold period, thereby increasing the clinical viability of BMI systems.
What is more, Dr Riess's design offers large performance improvements over Dr Lieber's.
The simulations show that large performance improvements over current best practice are possible.
Empirical results demonstrate that using MTL to account for individual differences provides large performance improvements over traditional machine learning methods and provides personalized, actionable insights.
The one exception seems to be the Random Forest algorithm where large performance improvements are not noted.
However, squash-specific movements, cricket bowling accuracy and racehorse riding demonstrated moderate to large performance improvements with fluid intake (0.4 1.0 L kg BM lost−1).
Findings from monkey BMI studies indicate that large performance improvements can be achieved with more recording sites and decoding techniques that co-adapt with the user to provide faster learning [38].
