Implemented the Viterbi algorithm for sequence tagging, did feature engineering to identify a good set of features and also compared the MEMM and CRF Statistical Modeling Methods, using Tensor Flow ...
Abstract: Viterbi algorithm has been widely used in artificial intelligence, machine learning, knowledge atlas, edge computing, industrial Internet and other emerging fields, and has good fidelity ...
With the consumer demand for increased content and as a result, increasing high data bandwidth continuing to drive communications systems, coding for error control ...
Abstract: The Viterbi algorithm is widely applied for the decoding of the convolutional codes. But the complexity is increase rapidly in the constraint length. The K-best Viterbi decoding algorithm ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback