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Mahalanobis Distance
distance Given a positive-definite symmetric matrix ¢² (a covariance
matrix) , the distance between examples x and y in feature space
is
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MAP Estimator
is the global maximum of the posterior density. MAP stands for
maximum a posteriori.
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MLE(Maximum Likelihood Estimatez)
is a value which maximum the likelihood function, or, more loosely,
is a stationary point of the likelihood function. |
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Missing Values
are unreported values of features. These could be lost, or they
could be deliberate non-measurement and so convey information.
(A medical practitioner will not order tests if their value
appears low.) |
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Multilayer Perceptron
is another name for a feed-forward neural network. Despite the
name, the 'neurons' are not usually perceptrons. |
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Multivariate Analysis
is the branch of statistics concerned with multiple observations
on each example which are not only of interest to predict or
explain just one of the observations. |
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