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Learning
Choosing the parameters of a classifier (and perhaps also the
family of class ifiers) from the training set.
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Least False Parameter
value. If the parametric family does not contain the true distribution.
this is the best possible parameter value in the sense of minimum
Kullback-Leibler divergence
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Likelihood
The probability density of the observations, viewed as a function
of the parameters, not of the observations.
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Logistic
The logistic distribution has cumulative distribution function
and this unction si called the logistic function. Logistic regression
and discrimination are based on converting predictions to probabilities
through the logistic function.
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Lp
An L space is the space of random variables X such that or a
space of functions f for which in L means
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LVQ
Learning Vector Quantization. A method of designing examples
for use in nearest-neighbour procedures.
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