Can you choose a binary feature matrix for a binary classification model This may be a stupid, but, I am new to deep learning (and machine learning for that matter) and I can't seem to find any literature to help with my question. All I can see when Googling many different questions (trying to change keywords to try get a hit on my question) is about binary classification. And also, binary classification where the feature matrix consists of real numbers.
I would like to know, is it possible to build a binary classifier with a binary feature matrix? And please can you point me to some literature.
I'm not aware of any literature specific to the case of classification based on binary features since it's just a subset of the general case, but it's definitely possible.
A very common example is traditional text classification, where the document is represented as a bag of words: there are different options but each word in the vocabulary can be represented as a boolean variable, representing whether it belongs to the document or not. For example (among many others), a Bernoulli Naive Bayes classifier can be trained on such data.