They make use of an algorithm that takes advantage of “ Bayesian Program Learning,” or BPL. This is when a computer creates its own additional examples after being fed data, and then ...

Even in this day and age, computer learning is far behind the learning capability of humans. A team of researchers seek to shrink the gap, however, developing a technique called “Bayesian Program… ...

This study compares two different techniques in a time series small area application: state space models estimated with the Kalman filter with a frequentist approach to hyperparameter estimation, and ...

This paper is on social learning, consumer, Bayesian learning, hierarchical Bayesian estimation, and discrete choice model. In order to make public as quickly as possible the results of theoretical ...