Insect Molecular Biology, EarlyView.Comparison between developmental stages (larvae, pupae, worker) in Pogonomyrmex californicus revealed significant stage‐specific differences in Gene Body Methylated frequencies. Methylation sites were highly correlated between WGBS and ONT in P. californicus Genome‐wide methylation was low (~3%) and highly clustered within gene bodies (GBM), especially
Tania Chavarria‐Pizarro +4 more
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A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets. [PDF]
PLoS OneLi T, Camera G.
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Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models [PDF]
, 2017 Chase Geigle, ChengXiang Zhai
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Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
International Statistical Review, EarlyView.Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Estimating childhood tuberculosis incidence and under-reporting in Gedeo Zone, Ethiopia: a Bayesian hidden Markov model. [PDF]
IJID RegTesfaye SH +6 more
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Pda-Bcjr Algorithm For Factorial Hidden Markov Models With Application To Mimo Equalisation
, 2006 Andrieu, C. +3 more
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Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
Information Systems Journal, EarlyView.ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
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Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach. [PDF]
Transl PsychiatryZhang X +8 more
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Lane Change Intention Recognition Models Using Hidden Markov Models and Relevance Vector Machines
, 2019 Rui Yu
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