Temporal classification is not a new problem: it has been explored extensively in different fields, although it has not emerged as a discipline in its own right. There are well-established techniques (such as hidden Markov models, recurrent neural networks and dynamic time-warping), but there has also recently been interest from the artificial intelligence and machine learning communities.
The established methods for temporal classification are first explored. Interest from the machine learning and artificial intelligence community is then discussed.