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With this post probability for every individual classifier, the Bayes classifier can make decisions based on a multinomial model [24].
The calculation of the expected cumulated rate of concordance for each series rank r is based on a multinomial distribution function.
Zeiler et al. [20] have proposed a stochastic pooling algorithm which randomly picks the activation within the pooling region based on a multinomial distribution.
We first estimated consumers' choices based on a multinomial choice model, so finding that the two interest rates gave the largest impact on consumers' choices.
This paper demonstrates that max-pooling dropout is equivalent to randomly picking activation based on a multinomial distribution at training time.
We argue that backtesting of the forecasting models used to derive ES can be based on a multinomial test of Value-at-Risk (VaR) exceptions at several levels.
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The plots were based on a parametric multinomial logistic recalibration analysis, 38 using random centre intercepts.
The research applied a quantitative methodology based on a Bayesian approach using multinomial joint distribution as prior distribution.
In our supervised work, we had presented two methods, one based on a linear mixture, whose adaptation to the unsupervised case results in the basis pursuit method described here, and another based on multinomial mixtures, which results in the LDA model.
By aligning reads to the reference genome, CEM can predict the expressed transcript sequences and estimate the expression level of each transcript based on a statistical model (quasi-multinomial model).
This paper presents a model to simulate built-up expansion and densification based on a combination of a non-ordered multinomial logistic regression (MLR) and cellular automata (CA).
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