AIMC Topic: Markov Chains

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Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2023
The asynchronous dissipative stabilization for stochastic Markov-switching neural networks (SMSNNs) is investigated. The aim is to design an output-feedback controller with inconsistent mode switching to ensure that the SMSNN is stochastically stable...
Neural Networks, Computer Computer Simulation Feedback Markov Chains Uncertainty
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A Layered, Hybrid Machine Learning Analytic Workflow for Mouse Risk Assessment Behavior.

eNeuro Jan 9, 2023
Accurate and efficient quantification of animal behavior facilitates the understanding of the brain. An emerging approach within machine learning (ML) field is to combine multiple ML-based algorithms to quantify animal behavior. These so-called hybri...
Machine Learning Algorithms Reproducibility of Results Animals Risk Assessment Mice Workflow Markov Chains
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Stochastic Stability of Markovian Neural Networks With Generally Hybrid Transition Rates.

IEEE transactions on neural networks and learning systems Nov 30, 2022
This article studies the problem of the stability for Markovian neural networks (MNNs) with time delay. The transition rate is considered to be generally hybrid, which treats those existing ones as its special cases. The introduced generally hybrid t...
Neural Networks, Computer Algorithms Time Factors Markov Chains Stochastic Processes
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Deep learning to decompose macromolecules into independent Markovian domains.

Nature communications Nov 19, 2022
The increasing interest in modeling the dynamics of ever larger proteins has revealed a fundamental problem with models that describe the molecular system as being in a global configuration state. This notion limits our ability to gather sufficient s...
Algorithms Computer Simulation Deep Learning Macromolecular Substances Markov Chains
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An AI approach for managing financial systemic risk via bank bailouts by taxpayers.

Nature communications Nov 17, 2022
Bank bailouts are controversial governmental decisions, putting taxpayers' money at risk to avoid a domino effect through the network of claims between financial institutions. Yet very few studies address quantitatively the convenience of government ...
Artificial Intelligence Markov Chains Government
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Asynchronous Intermittent Regulation of Human Arm Movement with Markovian Jumping Parameters.

Computational intelligence and neuroscience Nov 15, 2022
In this paper, the regulation stability problem of the human arm continuous movement is investigated based on Markovian jumping parameters. In particular, the intermittent control mechanism is adopted in the arm movement regulation procedure to model...
Humans Neural Networks, Computer Algorithms Computer Simulation Arm Markov Chains
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Exploiting Operation Importance for Differentiable Neural Architecture Search.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Recently, differentiable neural architecture search (NAS) methods have made significant progress in reducing the computational costs of NASs. Existing methods search for the best architecture by choosing candidate operations with higher architecture ...
Neural Networks, Computer Markov Chains
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Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection.

IEEE transactions on neural networks and learning systems Oct 5, 2022
One of the pillar generative machine learning approaches in time series data study and analysis is the hidden Markov model (HMM). Early research focused on the speech recognition application of the model with later expansion into numerous fields, inc...
Neural Networks, Computer Algorithms Markov Chains
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HMM-Based Action Recognition System for Elderly Healthcare by Colorizing Depth Map.

International journal of environmental research and public health Sep 23, 2022
Addressing the problems facing the elderly, whether living independently or in managed care facilities, is considered one of the most important applications for action recognition research. However, existing systems are not ready for automation, or f...
Humans Algorithms Delivery of Health Care Aged Support Vector Machine Markov Chains
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Input-to-State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints: Genetic Algorithm-Based Performance Optimization.

IEEE transactions on cybernetics Sep 19, 2022
This work investigates the stabilization problem of uncertain stochastic Markovian jump systems (MJSs) under communication constraints. To reduce the bandwidth usage, a discrete-time Markovian chain is employed to implement the stochastic communicati...
Neural Networks, Computer Algorithms Computer Simulation Communication Markov Chains
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