Figure 7From: Efficient algorithms for training the parameters of hidden Markov models using stochastic expectation maximization (EM) training and Viterbi trainingCpG island HMM. Symbolic representation of the CpG island HMM. States are shown as circles, transitions are shown as directed arrows. Every non-silent state can be reached from the Start state and has a transition to the End state. In addition, every non-silent state is connected in both directions to all non-silent states. For clarity, we here only show the transitions from the perspective of the A+ state. Please refer to the text for more details.Back to article page