Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Evaluation methods rely on assumptions about how validation data and the data one wants to predict, called test data, are related. Traditional methods assume that validation data and test data are ...

As artificial intelligence rapidly advances, how do we assess whether these systems are truly effective, ethical, and safe? Evaluation methods need to evolve beyond straightforward accuracy metrics to ...

What if your AI system could be evaluated with the same precision and rigor as a scientific experiment? In a world where artificial intelligence is increasingly central to decision-making, the stakes ...