Multi-task learning

Cumulative learning is an area of machine learning research in computer science. It studies learning methods that can take advantage of previously learned knowledge by reusing it while solving a sequence or a set of possibly related tasks.

See also

Machine learning, Metalearning, Artificial Neural Networks, Evolutionary computation