Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

Gaussian naive Bayes classification is a classical machine learning technique that can be used to predict a discrete value when the predictor variables are all numeric. For example, you might want to ...

Naive Bayes classification remains a cornerstone of machine learning, renowned for its simplicity, efficiency, and interpretability. This probabilistic approach leverages Bayes’ theorem under the ...

As the mobile phone market is rapidly expanding and the modern life is heavily dependent on cell phones, Short Message Service (SMS) has become one of the important media of communications. In this ...

Model search in probit regression is often conducted by simultaneously exploring the model and parameter space, using a reversible jump MCMC sampler. Standard samplers often have low model acceptance ...

The team from the Sensing, Interaction & Perception Lab at ETH Zürich, Switzerland have come up with TapType, an interesting text input method that relies purely on a pair of wrist-worn devices, that ...

The author investigates how probabilistic classification can be used to enhance credit-scoring accuracy, offering a robust means for assessing model performance ...