Continual learning models allow them to learn and adapt to new changes and tasks over time. However, in continual and sequential learning scenarios, in which the models are trained using different ...

Objectives To compare two Bayesian models capable of identifying unusual and unstable temporal patterns in spatiotemporal data. Setting Annual counts of mammography screening users from each ...

The enigmatic stone alignments in the Carnac region of Brittany, France, are among the most famous megalithic monuments in Europe—alongside Stonehenge, Menga, and the megalithic temples of Malta.

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...

A method for obtaining the Bayesian network (BN) representation of a sensor's measurement process is developed so that the problems of sensor fusion and management can be approached from a unified ...

A superyacht has been raised from the seabed nearly a year after it sank off the coast of Sicily, killing seven of the 22 ...

BIT framework uses Bayesian hierarchical modeling, which assesses probabilities across multiple layers of evidence rather ...

After that, the Bayesian will be set upright and then gradually lifted ... the best headlamps of 2025 offer serious brightness and battery life. We tested models from Olight, Petzl, Biolite, and more.