AIMC Topic: Markov Chains

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Early anomaly detection in smart home: A causal association rule-based approach.

Artificial intelligence in medicine Jun 29, 2018
As the world's population grows older, an increasing number of people are facing health issues. For the elderly, living alone can be difficult and dangerous. Consequently, smart homes are becoming increasingly popular. A sensor-rich environment can b...
Humans Markov Chains Independent Living Software Design Home Care Services Remote Sensing Technology Data Mining Machine Learning Algorithms
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Abdominal-Waving Control of Tethered Bumblebees Based on Sarsa With Transformed Reward.

IEEE transactions on cybernetics Jun 22, 2018
Cyborg insects have attracted great attention as the flight performance they have is incomparable by micro aerial vehicles and play a critical role in supporting extensive applications. Approaches to construct cyborg insects consist of two major issu...
Reward Markov Chains Bees Algorithms Animals Cybernetics Machine Learning
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Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation.

Neural networks : the official journal of the International Neural Network Society Jun 14, 2018
This paper addresses the problem of finite-time synchronization of stochastic coupled neural networks (SCNNs) subject to Markovian switching, mixed time delay, and actuator saturation. In addition, coupling strengths of the SCNNs are characterized by...
Time Factors Neural Networks, Computer Markov Chains Stochastic Processes
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Event-triggered H state estimation for semi-Markov jumping discrete-time neural networks with quantization.

Neural networks : the official journal of the International Neural Network Society May 17, 2018
This paper investigates H state estimation problem for a class of semi-Markovian jumping discrete-time neural networks model with event-triggered scheme and quantization. First, a new event-triggered communication scheme is introduced to determine wh...
Time Factors Markov Chains Neural Networks, Computer
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Robust path planning for flexible needle insertion using Markov decision processes.

International journal of computer assisted radiology and surgery May 11, 2018
PURPOSE: Flexible needle has the potential to accurately navigate to a treatment region in the least invasive manner. We propose a new planning method using Markov decision processes (MDPs) for flexible needle navigation that can perform robust path ...
Humans Decision Support Techniques Needles Phantoms, Imaging Robotics Markov Chains
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Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques.

PloS one May 3, 2018
The number of people diagnosed with dementia is expected to rise in the coming years. Given that there is currently no definite cure for dementia and the cost of care for this condition soars dramatically, slowing the decline and maintaining independ...
Activities of Daily Living Housing Markov Chains Dementia Entropy Humans Monitoring, Physiologic Machine Learning
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EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

Artificial intelligence in medicine Apr 23, 2018
OBJECTIVE: Electronic medical records (EMRs) contain medical knowledge that can be used for clinical decision support (CDS). Our objective is to develop a general system that can extract and represent knowledge contained in EMRs to support three CDS ...
Markov Chains Likelihood Functions Algorithms Electronic Health Records Machine Learning Decision Support Systems, Clinical
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A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.

Medical image analysis Apr 6, 2018
Heart motion tracking for radiation therapy treatment planning can result in effective motion management strategies to minimize radiation-induced cardiotoxicity. However, automatic heart motion tracking is challenging due to factors that include the ...
Markov Chains Radiation Injuries Magnetic Resonance Imaging, Cine Radiotherapy, Image-Guided Heart Motion Image Processing, Computer-Assisted Head and Neck Neoplasms Neural Networks, Computer Algorithms Humans
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A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets.

BMC bioinformatics Mar 27, 2018
BACKGROUND: Testing predefined gene categories has become a common practice for scientists analyzing high throughput transcriptome data. A systematic way of testing gene categories leads to testing hundreds of null hypotheses that correspond to nodes...
Models, Genetic Models, Theoretical Markov Chains Gene Ontology Bayes Theorem Humans Quantitative Trait Loci Transcriptome Algorithms ROC Curve Computer Simulation
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Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals.

PloS one Mar 8, 2018
Factor analysis is broadly used as a powerful unsupervised machine learning tool for reconstruction of hidden features in recorded mixtures of signals. In the case of a linear approximation, the mixtures can be decomposed by a variety of model-free B...
Bayes Theorem Monte Carlo Method Algorithms Unsupervised Machine Learning Markov Chains Fourier Analysis Signal Processing, Computer-Assisted Factor Analysis, Statistical Datasets as Topic
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