Disease dynamics in wild populations: modeling and estimation: a review
Abstract Models of infectious disease dynamics focus on describing the temporal and spatial
variations in disease prevalence, and on understanding the factors that affect how many …
variations in disease prevalence, and on understanding the factors that affect how many …
[HTML][HTML] Principal components-based hidden Markov model for automatic detection of whale vocalisations
AM Usman, DJJ Versfeld - Journal of Marine Systems, 2024 - Elsevier
Over the years, researchers have continued to put forward solutions to lessen the threats
faced by whales within their ecosystem. The correct detection of the different species of …
faced by whales within their ecosystem. The correct detection of the different species of …
A hidden Markov model with dependence jumps for predictive modeling of multidimensional time-series
A Petropoulos, SP Chatzis, S Xanthopoulos - Information Sciences, 2017 - Elsevier
Abstract Hidden Markov models (HMMs) are a popular approach for modeling sequential
data, typically based on the assumption of a first-or moderate-order Markov chain. However …
data, typically based on the assumption of a first-or moderate-order Markov chain. However …
Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana
M Seifert, A Gohr, M Strickert… - PLoS computational …, 2012 - journals.plos.org
Array-based comparative genomic hybridization (Array-CGH) is an important technology in
molecular biology for the detection of DNA copy number polymorphisms between closely …
molecular biology for the detection of DNA copy number polymorphisms between closely …
A method for noise-robust context-aware pattern discovery and recognition from categorical sequences
An efficient method for weakly supervised pattern discovery and recognition from discrete
categorical sequences is introduced. The method utilizes two parallel sources of data …
categorical sequences is introduced. The method utilizes two parallel sources of data …
A generalized hidden Markov model and its applications in recognition of cutting states
FY Xie, YM Hu, B Wu, Y Wang - International Journal of Precision …, 2016 - Springer
In the traditional hidden Markov model (HMM) for statistical learning and classification,
aleatory uncertainty because of randomness and epistemic uncertainty that is due to the lack …
aleatory uncertainty because of randomness and epistemic uncertainty that is due to the lack …
Time space stochastic modelling of agricultural landscapes for environmental issues
JF Mari, M Benoît - Environmental modelling & software, 2013 - Elsevier
Since the initial point of Langran (1993) saying that Geographic Information Systems (GIS)
were poorly equipped to handle temporal data, many researchers have sought to integrate …
were poorly equipped to handle temporal data, many researchers have sought to integrate …
Margin-maximizing classification of sequential data with infinitely-long temporal dependencies
SP Chatzis - Expert systems with applications, 2013 - Elsevier
Generative models for sequential data are usually based on the assumption of temporal
dependencies described by a first-order Markov chain. To ameliorate this shallow modeling …
dependencies described by a first-order Markov chain. To ameliorate this shallow modeling …
Duration High-Order Hidden Markov Models and Training Algorithms for Speech Recognition.
LM Lee - Journal of Information Science & Engineering, 2015 - search.ebscohost.com
The duration high-order hidden Markov model (DHO-HMM) can capture the dynamic
evolution of a physical system more precisely than can the first-order hidden Markov model …
evolution of a physical system more precisely than can the first-order hidden Markov model …
[PDF][PDF] On Eigendecomposition‑based Algorithms as Feature Extraction Techniques used with Hidden Markov Model for the Detection of Whale Vocalisations
AM Usman - 2024 - scholar.sun.ac.za
Whales emit a variety of distinctive sound signals for communication, echolocation, and
other social functions, which are gathered through passive acoustic monitoring (PAM) …
other social functions, which are gathered through passive acoustic monitoring (PAM) …