Paper accepted at Applied Soft Computing

A paper has been accepted at the Applied Soft Computing journal.

In particular, we bring forward two novel adaptive Gaussian Naive Bayes classifiers that are tailored for classifying hierarchical data streams. These models use window-weighted gaussian probabilities to consider current and historical data, thus improving their adaptability in drifting scenarios.

TIEPPO, EDUARDO; NIEVOLA, JULIO CESAR; BARDDAL, JEAN PAUL. Adaptive Learning on Hierarchical Data Streams using Window-weighted Gaussian Probabilities. In: Applied Soft Computing. 2024.