Technology, Artificial Intelligence, Machine Learning, Data Science, Deep Learning.
samples, this yields a composition of the M-HAL-MLE ensemble and the J estimated functions trained on the training sample. We can estimate the true function with the average of these V estimated functions, which we call the M-HAL super-learner. The M-HAL super-learner converges to the oracle