Results 1 to 10 of about 42,679 (162)

Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models

IEEE Access, 2016
In this paper, a joint feature selection and parameter estimation algorithm is presented for hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs).
Stephen Adams, Peter A. Beling, Randy Cogill   +2 more
doaj   +4 more sources

Network motif detection using hidden markov models [PDF]

Scientific Reports
Graphical representations model complex networks by encoding entities as vertices and interactions as edges, with recurring subgraphs—or motifs—revealing fundamental organizational principles. We present a novel application of Hidden Markov Models (HMMs)
Costas Bampos, Vasileios Megalooikonomou
doaj   +2 more sources

Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies. [PDF]

PLoS ONE
Ecologists often use a hidden Markov model to decode a latent process, such as a sequence of an animal's behaviours, from an observed biologging time series.
Evan Sidrow, Nancy Heckman, Tess M McRae, Beth L Volpov, Andrew W Trites, Sarah M E Fortune, Marie Auger-Méthé   +6 more
doaj   +2 more sources

Validating hidden Markov models for seabird behavioural inference [PDF]

Ecology and Evolution
Understanding animal movement and behaviour can aid spatial planning and inform conservation management. However, it is difficult to directly observe behaviours in remote and hostile terrain such as the marine environment. Different underlying states can
Rebecca A. Akeresola, Adam Butler, Esther L. Jones, Ruth King, Víctor Elvira, Julie Black, Gail Robertson   +6 more
doaj   +2 more sources

A Hidden Markov Model Based Detecting Solution for Detecting the Situation of Balance During Unsupported Standing Using the Electromyography of Ankle Muscles

International Clinical Neuroscience Journal, 2022
Background: In this study, three detecting approaches have been proposed and evaluated for online detection of balance situations during quiet standing.
Rashin Abdolhossein Harisi, Hamid Reza Kobravi   +1 more
doaj   +1 more source

Factorial Hidden Markov Models [PDF]

Machine Learning, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zoubin Ghahramani, Michael I. Jordan
openaire   +3 more sources

Visual tracking using interactive factorial hidden Markov models

IET Signal Processing, 2021
The authors present a novel tracking algorithm based on a factorial hidden Markov model (FHMM) that can utilise the structured information of a target.
Jin Wook Paeng, Junseok Kwon
doaj   +1 more source

Topological Hidden Markov Models

J. Mach. Learn. Res., 2022
32 pages, 8 figures, 6 ...
Adam B. Kashlak, Prachi Loliencar, Giseon Heo   +2 more
openaire   +3 more sources

Improving the Recognition Rate of Phonetic Arabic Letters Via Artificial Intelligent [PDF]

The Egyptian International Journal of Engineering Sciences and Technology, 2020
It is very important to enhance the recognition accuracy of the Arabic spoken letters. The accuracy of recognition system is affected by the feature extraction and the used classifier. An effective and robust method is proposed to evaluate speech feature
I Zedan, E Mohamed, Z Aly
doaj   +1 more source

Hidden Markov Modeling with HMMTeacher

PLOS Computational Biology, 2022
Is it possible to learn and create a first Hidden Markov Model (HMM) without programming skills or understanding the algorithms in detail? In this concise tutorial, we present the HMM through the 2 general questions it was initially developed to answer and describe its elements.
Camilo Fuentes-Beals, Alejandro Valdés-Jiménez, Gonzalo Riadi   +2 more
openaire   +4 more sources