The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

We use the Multinomial Naïve Bayes model, a probabilistic algorithm ideal for text classification, to fit our training vectors to the values of the target variable. The Multinomial Naïve Bayes ...

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Abstract: In statistical classification and machine learning, classification error is an important performance measure, which is minimized by the Bayes decision rule ...

We aimed to generate a novel molecular iCCA classifier that incorporates elements of the stroma, tumour and immune microenvironment (‘STIM’ classification). Design We applied virtual deconvolution to ...