"TimeMachine," an algorithm developed by U.S. researchers, accurately predicts circadian phase from a single blood sample using gene expression, offering a novel, efficient approach to ...

An enormously high number of algorithms are in use today in various electronic systems. Integrating and evaluating a DSP algorithm with the system is tricky enough to bring programmers to their knees.

NEW ORLEANS — Training sample size is an important factor in the performance of geographic atrophy prediction algorithms, according to research presented at the Association for Research in ...

Dong Li, Howell Tong, NESTED SUB-SAMPLE SEARCH ALGORITHM FOR ESTIMATION OF THRESHOLD MODELS, Statistica Sinica, Vol. 26, No. 4, Bayesian Inference, Environment Statistics, Time Series Analysis, and ...

Two sample algorithms reached the same conclusion naturally: They should collude.

In this paper, we propose a grid-search algorithm for an optimal design of sample size allocation for these two-stage procedures.

Because people train algorithms on their decisions – for example, algorithms that make recommendations on e-commerce and social media sites – algorithms learn and codify human biases.