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The problem of sequence prediction i.e. annotating sequences appears in many problems across a variety of scientific disciplines, especially in computational biology, natural language processing, speech recognition, etc. The paper investigates a boosting approach to structured prediction, AdaBoostSTRUCT, based on proposed sequence-loss balancing function, combining advantages of boosting scheme with...
Sequence prediction problem has been traditionally identified in the literature with sequence labeling. This approach typically corresponds to the classification of a label sequence associated to observed input sequence. However, another interpretation of sequence prediction may be considered where a label sequence (sequential output) is classified based only on the independent set of attributes....
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