PENDING
Please predict whether this patent is acceptable.PATENT ABSTRACT: Examples relate to hidden dynamic systems. In some examples, a conditional probability distribution for labeling data record segments is defined, where the conditional probability distribution models dependencies between class labels and internal substructures of the data record segments. At this stage, optimal parameter values are determined for the conditional probability distribution by applying a quasi-Newton gradient ascent method to training data, where the conditional probability distribution is restricted to a disjoint set of hidden states for each of the class labels. The conditional probability distribution and the optimal parameter values are used to determine a most probable labeling sequence for the data record segments.