Every state has its own sub-attributes, for example,
state S{ATTR1, ATTR2, ATTR3}.
We can train the model use data with states filled with all three attributes. When we want to predict, we just want to use a subset of the attributes, like
S{ATTR1, ATTR2}, ATTR3 is ignored,
When decoding/recognizing, is there an appropriate model for to use?