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 ...
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 ...
With the consumer demand for increased content and as a result, increasing high data bandwidth continuing to drive communications systems, coding for error control ...
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