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Apparatus for generating a statistical sequence model called class bi-multigram model with bigram dependencies assumed between adjacent sequences
Apparatus for generating a statistical sequence model called class bi-multigram model with bigram dependencies assumed between adjacent sequences
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机译：用于生成统计序列模型的设备，该模型称为类二元模型，在相邻序列之间具有二元依赖关系
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摘要
An apparatus generates a statistical class sequence model called A class bi-multigram model from input training strings of discrete-valued units, where bigram dependencies are assumed between adjacent variable length sequences of maximum length N units, and where class labels are assigned to the sequences. The number of times all sequences of units occur are counted, as well as the number of times all pairs of sequences of units co-occur in the input training strings. An initial bigram probability distribution of all the pairs of sequences is computed as the number of times the two sequences co-occur, divided by the number of times the first sequence occurs in the input training string. Then, the input sequences are classified into a pre-specified desired number of classes. Further, an estimate of the bigram probability distribution of the sequences is calculated by using an EM algorithm to maximize the likelihood of the input training string computed with the input probability distributions. The above processes are then iteratively performed to generate statistical class sequence model.
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