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Description: SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.
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Size: 95144 |
Author: 王强 |
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Description: 本文设计了一种混合模型的票据识别系统,识别率可达96.5％
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Size: 388947 |
Author: 杨絮 |
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Description: SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.
Platform: |
Size: 95232 |
Author: 王强 |
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Description: 本文设计了一种混合模型的票据识别系统,识别率可达96.5％-In this paper, the design of a hybrid model of the instrument recognition systems, recognition rate up to 96.5
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Size: 389120 |
Author: 杨絮 |
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