Nature

Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning

Traditional supervised learning algorithms do not satisfactorily solve the classification problem on imbalanced data sets, since they tend to assign the majority class, to the detriment of the ...
Nature

An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database

The healthcare industry generates a lot of data about patients, illnesses, and diagnoses, but it isn't being used correctly to produce the desired results. Heart disease and stroke are two of the main ...
Hackaday

bayesian classifier

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 ...
Diginomica

Can Bayesian Networks provide answers when Machine Learning comes up short? It's a question of probabilities

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...