More recently, the hidden Markov support vector machines (HM-SVMs) (Altun et al., 2003) have been proposed which combine the flexibility of kernel methods with the idea of HMMs to predict a label sequence given an input sequence.
hM-SVMs require full annotated corpora for training which are difficult to obtain in practical applications.