This paper describes an algorithm for maximising a conditional likelihood function when the corresponding unconditional likelihood function is more easily maximised. The algorithm is similar to the EM ...

This algorithm basically reduces the problem to that of evaluating a single central chi-squared distribution function. The algorithm is summarized in a step-by-step form, and a good algorithm for ...

This paper expands these standard methods to include artificial intelligence algorithms, which have the advantage of avoiding any assumptions with regard to the mathematical model functions of the ...

BARCELONA, Spain—A deep-learning algorithm designed to identify local cardiac structures and estimate cardiac function does a better job than sonographer estimates at consistently measuring left ...

By meeting the strict standards set forth in the mean-plus-function algorithm cases you will file more detailed applications that have better disclosure and which will undoubtedly support more ...

Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has ...