For this time series based dataset, if we use hold-out method splitting the data into training and validation dataset, as a result, we can not let model to learn the most recent and new information. Is there any solution to this issue, to sum up, what should we do to let model learn the newest info?
@HungyiLeeNTU3 жыл бұрын
Thank you for the great questions ... I do not have a good solution for the issue you raise. A possible solution is to update the model once for a while when collecting sufficient new data. However, in practice, if we only update the model with new data, it may forget the information it has learned. Life-long learning is the research direction trying to address the forgetting issue. (If you register for the course this semester, you can ask the questions on NTU COOL. I do not check KZbin messages frequently.)
@yangwang96883 жыл бұрын
@@HungyiLeeNTU It occurs to me that life-long learning is just like the way of walk-forward method does. Correct me if I was wrong? Unfortunately, I am not a student at NTU, I was wondering if I can still ask questions on COOL platform?