... sequence. The CRF model is trained to maxi-mize the conditional log-likelihood of a given train-ing set. During testing, the most likelysequenceis found using the Viterbi algorithm.One of the ... con-taining the same number of samples as the minorityclass. Then we trainCRF models, each based on the minority class samples and one disjoint parti-tion from the subspaces. During testing, the pos-terior ... on n-fold cross-validation. In this procedure, we heldout one show as the test set, randomly held out an-other show as the dev set, trained models on the rest of the data, and tested the model...