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Existing methods for text categorization assume that a document is a bag of words. While computationally efficient, such a representation is unable to capture sequential information. In this paper, a document is looked upon as a sequence of characters or words and the preprocessing for text categorization, such as word segmentation and feature selection, is not demanded. Statistical dependencies among...
Decision making and classification methods are very important in the field of structural health monitoring and life cycle prediction. We want to introduce an approach basing on sequence classifiers which can be used to several applications without any explicit knowledge of structures. To illustrate the concept we explain the method by means of a special example. So we can demonstrate our approach...
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