Hybrid neural conditional random fields for multi-view sequence labeling
Knowledge-Based Systems, pp. 1051512020.
In traditional machine learning, conditional random fields (CRF) is the mainstream probability model for sequence labeling problems. CRF considers the relation between adjacent labels other than decoding each label independently, and better performance is expected to achieve. However, there are few multi-view learning methods involving CR...More
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