2 Note the K-SVM can also be trained this way, by including every attribute in every sub-vector, as described earlier.
returning to our preposition selection example, an obvious attribute partition for the CS-SVM is to include as attributes for predicting preposition r only those counts for patterns filled with preposition r. x in will only include counts for context patterns filled with in andx bef ore will only include counts for context patterns filled with before.