Sentence examples for maximum likelihood decision making from inspiring English sources

Classifier performance was studied in detail using the Gaussian Mixture Mode and Maximum Likelihood decision making rule, and the results were verified on a multilayer perceptron and Support Vector Machine.

In particular, the acceptance set can be assigned according to the maximum likelihood decision rule.

The maximum likelihood decision rule is implemented by using the acceptance set (18).

To decode, a scalar correlation is computed and the final decision is computed with a maximum likelihood decision rule.

The probabilities introduced above can be easily estimated for, which corresponds to the maximum likelihood decision rule.

A Hybrid Decision Tree (HDT) Classifier was used to combine maximum likelihood decision rules, a brightness differencing technique, and a spatial/contextual rule base.

To classify a document, we employ a modified maximum likelihood decision rule, constructed so as to bias the decision towards the safe "mix" classification.

An optimum detector for this communication is proposed based on maximum-likelihood decision.

We propose a maximum-likelihood decision based on the conditional pdf of.

Similar to [47], we then use the maximum likelihood estimation to make a decision on the state of the previously attempted packets.

Alternative maximum likelihood approaches make different assumptions about the distribution of the error, but the matrix algebra is the same.