Most of the traditional machine learning algorithms need a feature vector of a constant dimension to predict the label.
Which algorithms can be used to predict a class label with a shorter or partial feature vector?
For example, consider a search engine. In search engines, when the user types a few letters, the search engine predicts the context of the query and suggests more queries to user.
Similarly, how can I predict a class label with an incomplete feature vector? I know one way is to pad the sequence, but I want a better solution.