Results 71 to 80 of about 252,736 (238)

Markov chain aggregation and its application to rule-based modelling

open access: yes, 2018
Rule-based modelling allows to represent molecular interactions in a compact and natural way. The underlying molecular dynamics, by the laws of stochastic chemical kinetics, behaves as a continuous-time Markov chain. However, this Markov chain enumerates
A Ganguly   +21 more
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Model Checking of Continuous-Time Markov Chains Against Timed Automata Specifications [PDF]

open access: yesLog. Methods Comput. Sci., 2011
We study the verification of a finite continuous-time Markov chain (CTMC) C against a linear real-time specification given as a deterministic timed automaton (DTA) A with finite or Muller acceptance conditions.
Taolue Chen   +3 more
semanticscholar   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Multilevel Monte Carlo for Continuous Time Markov Chains, with Applications in Biochemical Kinetics [PDF]

open access: yesMultiscale Modeling & simulation, 2011
We show how to extend a recently proposed multi-level Monte Carlo approach to the continuous time Markov chain setting, thereby greatly lowering the computational complexity needed to compute expected values of functions of the state of the system to a ...
D. F. Anderson, D. Higham
semanticscholar   +1 more source

The stability of conditional Markov processes and Markov chains in random environments

open access: yes, 2009
We consider a discrete time hidden Markov model where the signal is a stationary Markov chain. When conditioned on the observations, the signal is a Markov chain in a random environment under the conditional measure.
van Handel, Ramon
core   +1 more source

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

open access: yesThe Anatomical Record, EarlyView.
Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza   +5 more
wiley   +1 more source

Single‐Cell RNA Sequencing Informs Precision Targeting of Monogenic Lupus Associated With IKZF1 Haploinsufficiency

open access: yesArthritis &Rheumatology, EarlyView.
Objective This study aimed to investigate the mechanisms of immune dysregulation in a pediatric patient with monogenic lupus driven by IKZF1 haploinsufficiency. Methods Peripheral immune cells from a patient with IKZF1 haploinsufficiency, patients with lupus with no currently known genetic mutations, and healthy controls were analyzed using single‐cell
Qi Zheng   +6 more
wiley   +1 more source

Determining expected behaviour of fraudsters for a continuous audit system

open access: yesIIMB Management Review, 2012
This research attempts to determine the behaviour of fraudsters in a continuous audit system where the fraudsters have multiple options for committing fraud.
Mathew A. Thomas, Rahul R. Marathe
doaj   +1 more source

Large deviations of the empirical flow for continuous time Markov chains [PDF]

open access: yes, 2012
We consider a continuous time Markov chain on a countable state space and prove a joint large deviation principle for the empirical measure and the empirical flow, which accounts for the total number of jumps between pairs of states.
L. Bertini, A. Faggionato, D. Gabrielli
semanticscholar   +1 more source

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