I would like to build an online web-based machine learning system, where users can continuously add classified samples, and have the model updated online. I would like to use a perceptron or a similar online-learning algorithm.
But, users may make mistakes and insert irrelevant examples. In that case, I would like to have the option to delete a specific example, without re-training the perceptron on the entire set of examples (which may be very large).
Is this possible?