最寄り割り当ては,各GPS測位点を最も近いノード(エッジ)に割りあてるアルゴリズムで,非常にシンプルなため計算量が低いのが特徴です.大規模データに対しても簡単に適用することが ...
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 ...
Abstract: This paper introduces a Viterbi algorithm to obtain a sub-optimal state sequence for trajectory-HMM, which is derived from HMM with explicit relationship between static and dynamic features.
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 ...
Abstract: The Viterbi algorithm is the compute-intensive kernel in Hidden Markov Model (HMM) based sequence alignment applications. In this paper, we investigate extending several parallel methods, ...
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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