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multinomial ADJ MATH

multinomial expression MATH

multinomial series MATH

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Such networks are then trained under a log loss (or cross-entropy) regime, giving a non-linear variant of multinomial logistic regression.
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In machine learning, multiclass or multinomial classification is the problem of classifying instances into more than two classes.
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It is also known as the logistic normal distribution, which often refers to a multinomial logit version (e.g.).
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As such, it is an alternative to the multinomial logit model as one method of multiclass classification.
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Each column can therefore be regarded as an independent multinomial distribution.
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For the induction step, suppose the multinomial theorem holds for "m".
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In more variables, an analogous expression holds, but with an appropriate multinomial expansion rather than binomial expansion.
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Their conditional distributions are assumed to be binomial or multinomial.
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This provides a quick way to generate a lookup table for multinomial coefficients.
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It is possible to read off the multinomial coefficients from the terms by using the multinomial coefficient formula.
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