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Otherwise the analysis will be based on least-squares regression controlling for infant size and season of observation and other covariates that have a noticeable effect on the variance.
The mentioned three methods were based on least square.
It is based on least mean square method (LMS).
They proposed a concept learning algorithm called LCSLearn, which is based on "least common subsumers".
The above-described existing methods are based on least squares approximation for inpainting.
This technique is based on least square and generalized likelihood ratio.
Online learning has been used to solve the problem, most of which is based on least mean square (LMS).
The model is calibrated to fatigue data via a developed fitting-routine that is based on least squares method.
Many of the existing approaches are based on least significant bit (LSB) insertion, where the LSBs of the cover file are directly changed with message bits.
The authors also proposed an algorithm called LCSLearn for learning concepts and disjunctions of concepts in C-Classic from individuals, which is based on "least common subsumers".
A number of these methods are based on least significant bit embedding and hence, the presence of hidden data can be detected by well-designed steganalysis algorithms.
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