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The LMS maps IDs to global locators.
The LMS algorithm is simple and mathematically modest.
The LMS oligopoly is nothing if not resilient, historically leaving little space for competition.
The LMS algorithm is derived in Section 3.2 in order to establish a link between the LMS algorithm and a Tikhonov regularization of the RLS algorithm.
The LMS Royal Scot Class was loosely based on this design.
The LMS scores are only an approximation of this similarity, based on common patterns.
The LMS curve fitting procedure adjusts for skewness so that the percentile values and z-scores generated by the LMS values are robust when the data are not normally distributed.
The lms expressing cells are located in the stalk region of the disc outside of the leg proper area.
The LMS method was used for model fit.
The LMS user interface and communication features were comparatively complicated.
The LMS was 21% smaller than the RMS.
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