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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?

1 Answers 1