emissions of x i by y i ) as well as interactions between neighboring labels y i along the chain (transitions).
φ is defined so that the complete labeling y = f (x) can be computed efficiently from F , using a Viterbi-like decoding algorithm, according to the linear discriminant function y * = arg max In the training phase, SVM hmm solves the following optimization problem given training examples (x 1 , y 1 ) .