AIMC Topic: Stochastic Processes

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A Survey of Stochastic Computing Neural Networks for Machine Learning Applications.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Neural networks (NNs) are effective machine learning models that require significant hardware and energy consumption in their computing process. To implement NNs, stochastic computing (SC) has been proposed to achieve a tradeoff between hardware effi...
Humans Algorithms Neurons Neural Networks, Computer Stochastic Processes Machine Learning
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Neural network aided approximation and parameter inference of non-Markovian models of gene expression.

Nature communications May 11, 2021
Non-Markovian models of stochastic biochemical kinetics often incorporate explicit time delays to effectively model large numbers of intermediate biochemical processes. Analysis and simulation of these models, as well as the inference of their parame...
Transcription, Genetic Stochastic Processes Feedback, Physiological Kinetics Gene Expression Regulation Computer Simulation Models, Genetic Neural Networks, Computer
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Domain adaptation and self-supervised learning for surgical margin detection.

International journal of computer assisted radiology and surgery May 6, 2021
PURPOSE: One in five women who undergo breast conserving surgery will need a second revision surgery due to remaining tumor. The iKnife is a mass spectrometry modality that produces real-time margin information based on the metabolite signatures in s...
Algorithms Female Skin Neoplasms Humans Machine Learning Margins of Excision Mastectomy, Segmental Operating Rooms Stochastic Processes Carcinoma, Basal Cell Reproducibility of Results Sensitivity and Specificity Skin Breast Neoplasms Breast Supervised Machine Learning Area Under Curve Calibration Mastectomy
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Block-cyclic stochastic coordinate descent for deep neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 19, 2021
We present a stochastic first-order optimization algorithm, named block-cyclic stochastic coordinate descent (BCSC), that adds a cyclic constraint to stochastic block-coordinate descent in the selection of both data and parameters. It uses different ...
Classification Stochastic Processes Image Processing, Computer-Assisted Datasets as Topic Pattern Recognition, Automated Neural Networks, Computer
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Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2021
This paper presents new theoretical results on the multi-periodicity of recurrent neural networks with time delays evoked by periodic inputs under stochastic disturbances and state-dependent switching. Based on the geometric properties of activation ...
Periodicity Neural Networks, Computer Probability Stochastic Processes Time Factors
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Synchronization for stochastic coupled networks with Lévy noise via event-triggered control.

Neural networks : the official journal of the International Neural Network Society Mar 24, 2021
This paper addresses the realization of almost sure synchronization problem for a new array of stochastic networks associated with delay and Lévy noise via event-triggered control. The coupling structure of the network is governed by a continuous-tim...
Neural Networks, Computer Time Factors Stochastic Processes Markov Chains
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Bidirectional stochastic configuration network for regression problems.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2021
To adapt to the reality of limited computing resources of various terminal devices in industrial applications, a randomized neural network called stochastic configuration network (SCN), which can conduct effective training without GPU, was proposed. ...
Stochastic Processes Regression Analysis Supervised Machine Learning Random Allocation
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Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2021
This paper investigates the quasi-synchronization problem of the stochastic heterogeneous complex dynamical networks with impulsive couplings and multiple time-varying delays. It is shown that this kind of dynamical networks can achieve exponential q...
Neural Networks, Computer Time Factors Stochastic Processes
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PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.

Computational and mathematical methods in medicine Mar 8, 2021
AIM: COVID-19 has caused large death tolls all over the world. Accurate diagnosis is of significant importance for early treatment.
Pneumonia Algorithms Retrospective Studies Databases, Factual Community-Acquired Infections Diagnosis, Computer-Assisted Humans Imaging, Three-Dimensional Radiography, Thoracic Tomography, X-Ray Computed Neural Networks, Computer Stochastic Processes Reproducibility of Results Software COVID-19 Tuberculosis, Pulmonary Medical Informatics
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Modeling vehicle ownership with machine learning techniques in the Greater Tamale Area, Ghana.

PloS one Feb 16, 2021
Vehicle ownership modeling and prediction is a crucial task in the transportation planning processes which, traditionally, uses statistical models in the modeling process. However, with the advancement in computing power of computers and Artificial I...
Stochastic Processes Ghana Ownership Logistic Models Models, Statistical Humans Machine Learning
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