... algorithm"
The prefix was "transductive learning"
Learning algorithm.
Transduction, or transductive inference, tries to predict new outputs on specific and fixed (test) cases from observed, specific (training) cases.
The simplest realization for transductive inference is the method of k-nearest neighbors.
Learning to learn learns its own inductive bias based on previous experience.
...AND SO ON....
Enjoy the program !