AIMC Topic: Markov Chains

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Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Cardiovascular engineering and technology Feb 22, 2024
PURPOSE: Aorta segmentation is extremely useful in clinical practice, allowing the diagnosis of numerous pathologies, such as dissections, aneurysms and occlusive disease. In such cases, image segmentation is prerequisite for applying diagnostic algo...
Radiographic Image Interpretation, Computer-Assisted Markov Chains Predictive Value of Tests Aortic Diseases Aortography Computed Tomography Angiography Aorta Machine Learning Imaging, Three-Dimensional Humans Reproducibility of Results
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Research on Pig Sound Recognition Based on Deep Neural Network and Hidden Markov Models.

Sensors (Basel, Switzerland) Feb 16, 2024
In order to solve the problem of low recognition accuracy of traditional pig sound recognition methods, deep neural network (DNN) and Hidden Markov Model (HMM) theory were used as the basis of pig sound signal recognition in this study. In this study...
Female Animals Algorithms Neural Networks, Computer Sound Markov Chains Swine
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Markov chain stochastic DCA and applications in deep learning with PDEs regularization.

Neural networks : the official journal of the International Neural Network Society Nov 13, 2023
This paper addresses a large class of nonsmooth nonconvex stochastic DC (difference-of-convex functions) programs where endogenous uncertainty is involved and i.i.d. (independent and identically distributed) samples are not available. Instead, we ass...
Bayes Theorem Markov Chains Deep Learning Algorithms Neural Networks, Computer
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Adaptive neural network control for Markov jumping systems against deception attacks.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2023
This paper proposes an innovative approach for mitigating the effects of deception attacks in Markov jumping systems by developing an adaptive neural network control strategy. To address the challenge of dual-mode monitoring mechanisms, two independe...
Markov Chains Neural Networks, Computer
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Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2023
Sparse deep neural networks have proven to be efficient for predictive model building in large-scale studies. Although several works have studied theoretical and numerical properties of sparse neural architectures, they have primarily focused on the ...
Monte Carlo Method Markov Chains Neural Networks, Computer Bayes Theorem Algorithms
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Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data.

Journal of neurophysiology Jul 5, 2023
Unsupervised, data-driven methods are commonly used in neuroscience to automatically decompose data into interpretable patterns. These patterns differ from one another depending on the assumptions of the models. How these assumptions affect specific ...
Markov Chains Unsupervised Machine Learning Algorithms Probability
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Observer-based state estimation for discrete-time semi-Markovian jump neural networks with round-robin protocol against cyber attacks.

Neural networks : the official journal of the International Neural Network Society Jun 16, 2023
This paper investigates an observer-based state estimation issue for discrete-time semi-Markovian jump neural networks with Round-Robin protocol and cyber attacks. In order to avoid the network congestion and save the communication resources, the Rou...
Algorithms Neural Networks, Computer Markov Chains Communication Time Factors
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Learning Performance of Weighted Distributed Learning With Support Vector Machines.

IEEE transactions on cybernetics Jun 15, 2023
The divide-and-conquer strategy is a very effective method of dealing with big data. Noisy samples in big data usually have a great impact on algorithmic performance. In this article, we introduce Markov sampling and different weights for distributed...
Learning Markov Chains Support Vector Machine Algorithms
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Reachable set estimation and stochastic sampled-data exponential synchronization of Markovian jump neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society May 27, 2023
In this paper, the stochastic sampled-data exponential synchronization problem for Markovian jump neural networks (MJNNs) with time-varying delays and the reachable set estimation (RSE) problem for MJNNs subjected to external disturbances are investi...
Time Factors Computer Simulation Neural Networks, Computer Markov Chains Stochastic Processes
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Uncertainty maximization in partially observable domains: A cognitive perspective.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2023
Faced with an ever-increasing complexity of their domains of application, artificial learning agents are now able to scale up in their ability to process an overwhelming amount of data. However, this comes at the cost of encoding and processing an in...
Markov Chains Algorithms Machine Learning Cognition Uncertainty
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