Sentence examples for algorithmic performance from inspiring English sources

The time and memory requirements of each algorithm were used as measures of algorithmic performance.

Just like software startups launch when they have built a minimum viable product (MVP) in order to collect actionable feedback from initial customers, AI startups should launch when they reach the minimum algorithmic performance (MAP) required by early adopters, so that the algorithm can be trained on more diverse and fresh data sets and avoid becoming overfit to a training set.

We presented systematic methods to compute false-positive rates and power for the DELISHUS and single individual algorithms and demonstrated how to use the calculations to evaluate algorithmic performance and tune the threshold parameter.

This leads to a significant gain in algorithmic performance.

Examples of algorithmic performance and computational results are provided.

Trade-offs between the abilities of the individual platform, required communication, and algorithmic performance are discussed.

We also employ such a measure in our evaluation, called Row Clustering Error (RCE), in order to compare non-overlapping algorithms as well as to provide auxiliary information about algorithmic performances for the overlapping ones.

However, the performance of the individual methods is poorly understood and validation of algorithmic performances is still missing to a large extent.

It should also be noted that the algorithmic performances described herein are dependent upon implementation details and the choice of underlying algorithms.

Figure 2 Algorithmic convergence performance.

Figure 2 shows the algorithmic convergence performance of COMFAC with 13-antenna-array and SNR = 15 dB.