AIMC Topic: Markov Chains

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Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing.

Cognitive processing Mar 5, 2019
Neuro Linguistic Programming (NLP) is a methodology used for recognition of human behavioral patterns and modification of the behavior. A significant part of this process is influenced by the theory of representational systems which equates to the fi...
Young Adult Adult Male Female Reproducibility of Results Humans Markov Chains Software Sensation Neurolinguistic Programming Adolescent Natural Language Processing
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Deep Convolutional Neural Networks for Heart Sound Segmentation.

IEEE journal of biomedical and health informatics Jan 21, 2019
This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is inspired by similar appr...
Neural Networks, Computer Algorithms Databases, Factual Humans Heart Sounds Signal Processing, Computer-Assisted Phonocardiography Markov Chains
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Extended Dissipativity Analysis for Markovian Jump Neural Networks With Time-Varying Delay via Delay-Product-Type Functionals.

IEEE transactions on neural networks and learning systems Jan 1, 2019
This paper investigates the problem of extended dissipativity for Markovian jump neural networks (MJNNs) with a time-varying delay. The objective is to derive less conservative extended dissipativity criteria for delayed MJNNs. Toward this aim, an ap...
Algorithms Time Factors Markov Chains Neural Networks, Computer
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In vitro neural networks minimise variational free energy.

Scientific reports Nov 16, 2018
In this work, we address the neuronal encoding problem from a Bayesian perspective. Specifically, we ask whether neuronal responses in an in vitro neuronal network are consistent with ideal Bayesian observer responses under the free energy principle....
Learning Models, Neurological Bayes Theorem Neural Networks, Computer Algorithms Markov Chains Humans
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Improved model adaptation approach for recognition of reduced-frame-rate continuous speech.

PloS one Nov 7, 2018
In distributed speech recognition applications, the front-end device that stands for any handheld electronic device like smartphones and personal digital assistants (PDAs) captures the speech signal, extracts the speech features, and then sends the s...
Algorithms User-Computer Interface Humans Pattern Recognition, Automated Smartphone Neural Networks, Computer Markov Chains Speech Speech Recognition Software
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Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

IEEE transactions on cybernetics Oct 3, 2018
Hidden Markov models (HMMs) underpin the solution to many problems in computational neuroscience. However, it is still unclear how to implement inference of HMMs with a network of neurons in the brain. The existing methods suffer from the problem of ...
Models, Neurological Action Potentials Humans Competitive Behavior Neural Networks, Computer Markov Chains Brain
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Reachable set estimation for Markovian jump neural networks with time-varying delay.

Neural networks : the official journal of the International Neural Network Society Sep 29, 2018
This paper is concerned with the reachable set estimation for Markovian jump neural networks with time-varying delay and bounded peak inputs. The objective is to find a description of a reachable set that is containing all reachable states starting f...
Time Factors Neural Networks, Computer Markov Chains Algorithms Computer Simulation
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Protocol-based state estimation for delayed Markovian jumping neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2018
This paper is concerned with the state estimation problem for a class of Markovian jumping neural networks (MJNNs) with sensor nonlinearities, mode-dependent time delays and stochastic disturbances subject to the Round-Robin (RR) scheduling mechanism...
Markov Chains Goals Computer Simulation Communication Neural Networks, Computer
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Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.

Journal of biomedical informatics Aug 18, 2018
Gene ontology (GO) provides a representation of terms and categories used to describe genes and their molecular functions, cellular components and biological processes. GO has been the standard for describing the functions of specific genes in differ...
Reproducibility of Results Molecular Sequence Annotation Animals Decision Trees Humans Gene Ontology Databases, Genetic Markov Chains Computational Biology Databases, Protein Algorithms MEDLINE Models, Statistical Predictive Value of Tests
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Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning.

IEEE transactions on visualization and computer graphics Aug 15, 2018
We propose a reinforcement learning approach for real-time exposure control of a mobile camera that is personalizable. Our approach is based on Markov Decision Process (MDP). In the camera viewfinder or live preview mode, given the current frame, our...
Neural Networks, Computer Databases, Factual Lighting Markov Chains Image Processing, Computer-Assisted Semantics Humans Photography
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