Results 171 to 180 of about 73,803 (311)
Hidden Markov model analysis of fluorescence blinking in fluorescently labeled DNA. [PDF]
Furuta T +7 more
europepmc +1 more source
Diagram recognition using hidden Markov models
User input interfaces are quickly become more natural and intuative, relying less and less on the traditional mouse and keyboard interface, and moving towards a pen based input system.
Wardhani, Aster W., Henry, David W.
core
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang +8 more
wiley +1 more source
scGeno: a Hidden Markov Model approach to denoise chromosome-scale genotypes from single-cell data. [PDF]
Tornisiello R, Kretzmer H.
europepmc +1 more source
Quantitative analysis of peroxisome tracks using a Hidden Markov Model. [PDF]
Svensson CM +5 more
europepmc +1 more source
Hidden Markov Model Regression
Hidden Markov Model Regression (HMMR) is an extension of the Hidden Markov Model (HMM) to regression analysis. We assume that the parameters of the regression model are determined by the outcome of a finite-state Markov chain and that the error terms are
Fridman, Moshe, Moshe Fridman
core
Chinese Loans and Africa's Agricultural Investment: A Bayesian Multilevel Modelling Analysis
ABSTRACT Chinese lending to Africa expanded substantially after 2000, with agriculture often presented as a strategic sector in China–Africa development cooperation. This study examined whether Chinese loans to African agriculture reflected a differentiated financing strategy or formed part of a broader development finance portfolio.
Adrino Mazenda
wiley +1 more source
Decoding the neural dynamics of everyday prospective remembering: a hidden Markov model approach. [PDF]
Vicentin S +6 more
europepmc +1 more source
Propositionalisation of multiple sequence alignments using probabilistic models
Multiple sequence alignments play a central role in Bioinformatics. Most alignment representations are designed to facilitate knowledge extraction by human experts.
Mutter, Stefan +2 more
core
ForestForTrees: An R package to infer forest structure from remote sensing data
Abstract Estimating forest size‐abundance distributions is essential for understanding demographic processes and structural dynamics. Remote sensing provides broad coverage but often misses smaller trees hidden beneath the canopy, complicating inference of the full size distribution.
Adam J. Eichenwald +4 more
wiley +1 more source

