The expectation-maximization (EM) algorithm is a popular approach for obtaining maximum likelihood estimates in incomplete data problems because of its simplicity and stability (e.g. monotonie ...
There’s a lot of conversation lately about all the possibilities of machines learning to do things humans currently do in our factories, warehouses, offices and homes. While the technology is evolving ...
This is a preview. Log in through your library . Abstract A generalisation of the ECM algorithm (Meng & Rubin, 1993), which is itself an extension of the EM algorithm (Dempster, Laird & Rubin, 1977), ...
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