Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Additionally, non-adaptive algorithms addressing threshold group testing have introduced subquadratic complexity solutions, which is a crucial step in applying these methods to large-scale ...

D. Sc., Professor Leonid Sokolinsky has derived a formula to evaluate the effectiveness of parallel algorithms. For four years, the scientist worked at the Supercomputer Simulation Laboratory at South ...

Data published by the Educational Testing Service (ETS) to highlight the results of its E-rater grading engine found that it often gave higher grades to students from mainland China than humans would.

Testing can also be important in determining if a machine learning algorithm is accurate across demographic categories. Such scrutiny is especially important when behavioral data is utilized.

Performing tests on search engine algorithms can help you stay current on what the search engines are looking for and help guide your SEO strategies. The hardest part is devising tests that show an ...