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 ...

"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 ...

For example, algorithms used in facial recognition technology have in the past shown higher identification rates for men than for women, and for individuals of non-white origin than for whites.

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.

Decomposition and algorithm practice questions - Eduqas Designing an algorithm - example one Every programming problem needs decomposing so that it can be properly understood.

Algorithm-based stock trading is shrouded in mystery at financial firms. A new startup, Quantopian, aims to make these algorithms available to a much larger audience.