| http://www.w3.org/ns/prov#value | - Block model averaging (???BMA???) is a process by which sequential or incremental blocks of data are progressively read from an input source to produce a set of statistical models that cooperate in an ensemble model to predict knowledge about input data (e.g., test data, new data, or other data).
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