Results 181 to 190 of about 73,803 (311)

Dynamic Brain State Alterations in Narcolepsy: A Hidden Markov Model Approach to Thalamocortical Instability and Symptom-Specific Neural Correlates. [PDF]

Brain Behav
Li W, Jia L, Wang X, Zhao Y, Li Z, Geng Z.   +5 more
europepmc   +1 more source

Enriching historical biologging datasets on seabirds using deep neural networks: A transformer‐based approach to infer energy expenditure proxy from GPS and environmental data

Methods in Ecology and Evolution, EarlyView.
Abstract Recent advances in biologging have led to the widespread use of accelerometers, which generate high‐resolution movement data essential for understanding animal behaviour. Derived from tri‐axial accelerometry, Overall Dynamic Body Acceleration (ODBA) serves as a proxy for energy expenditure that is less invasive and more cost‐effective than ...
Noémie Muquet, Adrien Brunel, Christophe Barbraud, Leandro Bugoni, Karine Delord, Guilherme Tavares Nunes, Jean‐Daniel Zucker, Sophie Lanco   +7 more
wiley   +1 more source

Joint Bayesian Hidden Markov Model With Subject-Specific Transitions for Wearable Sensor Data. [PDF]

Stat Med
Fei W, Miao Z, Xu T, Wang Y.
europepmc   +1 more source

Weekend Overload: Day‐to‐Day Fluctuations of Outdoor Recreation Affect Wild Mammals' Space‐Use in a Popular Forest Reserve Near Florence, Italy

Animal Conservation, EarlyView.
In an urban‐adjacent forested area, we investigated the spatial and temporal distribution of the wild mammal community in relation to day‐to‐day fluctuations of human presence occurring between working days and weekends. We deployed 52 camera‐traps systematically within an EU Natura 2000 area located within the metropolitan area of Florence, central ...
Ilaria Greco, Marco Salvatori, Claudio Bruzzone, Gianluca Serra, Giovanni Galipò, Davide Travaglini, Francesco Rovero   +6 more
wiley   +1 more source

Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model. [PDF]

F1000Res
Siddalingappa R, S D, Savitha M, P K, Stella Mary I P, Gornale S, B A L, Li K, Wen Goh K.   +8 more
europepmc   +1 more source

Markov-Switching Model Selection Using Kullback-Leibler Divergence

In Markov-switching regression models, we use Kullback-Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously.
Tsai, Chih-Ling, Smith, Aaron D., Naik, Prasad A.   +2 more
core  

Hidden Markov Model

, 2006
Hidden Markov Model (HMM) adalah peluasan dari rantai Markov di mana statenya tidak dapat diamati secara langsung (tersembunyi), tetapi hanya dapat diobservasi melalui suatu himpunan pengamatan lain. Pada HMM terdapat tiga
Firdaniza, Firdaniza, Akmal, Akmal, Nurul, Gusriani   +2 more
core  

Competitive diplomacy in bargaining and war

American Journal of Political Science, EarlyView.
Abstract War is often viewed as a bargaining problem. However, prior to bargaining, countries can vie for leverage by expending effort on diplomacy. This article presents a dynamic model of conflict where agenda‐setting power is endogenous to pre‐bargaining diplomatic competition.
Joseph J. Ruggiero
wiley   +1 more source

Assessment of goose-beaked whale responses to mid-frequency active sonar using a hierarchical hidden Markov model. [PDF]

Mov Ecol
DeRuiter SL, Falcone EA, Coates SN, Rone BK, Sweeney DA, Dolan KA, Jarvis SM, Andrews RD, Watwood SL, Schorr GS.   +9 more
europepmc   +1 more source

Multi-State Models for Panel Data: The msm Package for R

Panel data are observations of a continuous-time process at arbitrary times, for example, visits to a hospital to diagnose disease status. Multi-state models for such data are generally based on the Markov assumption.
Christopher Jackson
core