This project implements a robust Part-of-Speech (POS) tagger from scratch using a Hidden Markov Model (HMM) framework. It explores and compares three n-gram models (Unigram, Bigram, and Trigram) to ...
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 ...
Sequence-based protein function and structure prediction depends crucially on sequence-search sensitivity and accuracy of the resulting sequence alignments. We present an open-source, general-purpose ...
Today's wireless, cellular, and mobile communications devices rely on advanced algorithms, such as Viterbi estimation, to perform voice, video, audio, and data operations. These emerging technologies ...
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: 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 ...
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