AIMC Topic: Normal Distribution

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Comparison of Machine Learning Models for Hazardous Gas Dispersion Prediction in Field Cases.

International journal of environmental research and public health Jul 10, 2018
Dispersion prediction plays a significant role in the management and emergency response to hazardous gas emissions and accidental leaks. Compared with conventional atmospheric dispersion models, machine leaning (ML) models have both high accuracy and...
Support Vector Machine Gases Normal Distribution Hazardous Substances Chemical Hazard Release Machine Learning Models, Theoretical
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On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines.

Neural networks : the official journal of the International Neural Network Society Jun 22, 2018
In this paper, we analyze the role of hidden bias in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines (GBPRBMs), which are similar to the widely used Gaussian-Bernoulli RBMs. Our experiments show that hidden bias play...
Likelihood Functions Normal Distribution Entropy Neural Networks, Computer Machine Learning Bias
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Comparison of Models for Predicting Quality of Life After Surgical Resection of Hepatocellular Carcinoma: a Prospective Study.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Jun 18, 2018
BACKGROUND: The essential issue of internal validity has not been adequately addressed in prediction models such as artificial neural network (ANN), support vector machine (SVM), Gaussian process regression (GPR), and multiple linear regression (MLR)...
Carcinoma, Hepatocellular Support Vector Machine Neoplasm Staging Linear Models Male Middle Aged Quality of Life Liver Neoplasms Postoperative Period Normal Distribution Humans Neural Networks, Computer Prospective Studies Female Aged
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Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

Computer methods and programs in biomedicine May 29, 2018
BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in the formulation of an effective and efficient strategy to improve the participation rate has been growing. The aim ...
Machine Learning Algorithms Databases, Factual Retrospective Studies Humans Male Middle Aged ROC Curve Logistic Models Support Vector Machine Female Aged Adult Sensitivity and Specificity Normal Distribution Health Status Area Under Curve Patient Compliance Japan
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A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms.

Journal of healthcare engineering Apr 18, 2018
The accurate and efficient segmentation of coronary arteries in X-ray angiograms represents an essential task for computer-aided diagnosis. This paper presents a new multiscale Gaussian-matched filter (MGMF) based on artificial neural networks. The p...
Normal Distribution X-Rays Radiographic Image Enhancement ROC Curve Image Processing, Computer-Assisted Coronary Angiography Coronary Vessels Humans Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted
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MR fingerprinting Deep RecOnstruction NEtwork (DRONE).

Magnetic resonance in medicine Apr 6, 2018
PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods.
Monte Carlo Method Phantoms, Imaging Normal Distribution Male Deep Learning Image Processing, Computer-Assisted Models, Theoretical Magnetic Resonance Imaging Healthy Volunteers Neuroimaging Signal-To-Noise Ratio Brain Computer Simulation Reproducibility of Results Adult Humans Neural Networks, Computer Algorithms
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Statistical and Machine Learning forecasting methods: Concerns and ways forward.

PloS one Mar 27, 2018
Machine Learning (ML) methods have been proposed in the academic literature as alternatives to statistical ones for time series forecasting. Yet, scant evidence is available about their relative performance in terms of accuracy and computational requ...
Bayes Theorem Normal Distribution Neural Networks, Computer Machine Learning Forecasting Support Vector Machine Models, Statistical
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The design and validation of a hybrid digital-signal-processing plug-in for traditional cochlear implant speech processors.

Computer methods and programs in biomedicine Mar 12, 2018
BACKGROUND AND OBJECTIVE: Cochlear implants (CIs) are electronic devices restoring partial hearing to deaf individuals with profound hearing loss. In this paper, a new plug-in for traditional IIR filter-banks (FBs) is presented for cochlear implants ...
Hearing Loss Speech Signal Processing, Computer-Assisted Internet Netherlands Cochlear Implantation Normal Distribution Cochlear Implants Signal-To-Noise Ratio Wavelet Analysis Software Algorithms Databases, Factual Reproducibility of Results Humans Neural Networks, Computer
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Multichannel lung sound analysis for asthma detection.

Computer methods and programs in biomedicine Mar 9, 2018
BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscultation is an effective technique to appreciate the condition of the respiratory system using lung sound signals. The prior works on asthma detection fr...
Humans Auscultation Respiratory Sounds Lung Support Vector Machine Models, Statistical Predictive Value of Tests Forced Expiratory Volume Signal Processing, Computer-Assisted Vital Capacity Normal Distribution Adult Asthma Male Middle Aged Neural Networks, Computer Algorithms Female Young Adult
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Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy.

Magnetic resonance in medicine Feb 1, 2018
Algorithms Brain Computer Simulation Deep Learning Humans Neural Networks, Computer Image Enhancement Signal-To-Noise Ratio Magnetic Resonance Spectroscopy Normal Distribution Image Processing, Computer-Assisted Healthy Volunteers Artifacts Gray Matter
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