AIMC Topic: Bayes Theorem

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Recognition of the Effect of Vocal Exercises by Fuzzy Triangular Naive Bayes, a Machine Learning Classifier: A Preliminary Analysis.

Journal of voice : official journal of the Voice Foundation Nov 11, 2022
OBJECTIVES: Machine learning (ML) methods allow the development of expert systems for pattern recognition and predictive analysis of intervention outcomes. It has been used in Voice Sciences, mainly to discriminate between healthy and dysphonic voice...
Middle Aged Case-Control Studies Fuzzy Logic Predictive Value of Tests Treatment Outcome Young Adult Adult Female Reproducibility of Results Speech Acoustics Speech Production Measurement Dysphonia Voice Training Voice Quality Humans Acoustics Machine Learning Speech Perception Bayes Theorem Signal Processing, Computer-Assisted
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Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study.

Clinical chemistry and laboratory medicine Nov 11, 2022
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods for evaluating patients with suspected sepsis using data from routinely available blood tests performed on arrival at the hospital. Results were compar...
Humans Bayes Theorem Artificial Intelligence Sepsis Machine Learning Logistic Models
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Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2022
Humans demonstrate a variety of interesting behavioral characteristics when performing tasks, such as selecting between seemingly equivalent optimal actions, performing recovery actions when deviating from the optimal trajectory, or moderating action...
Task Performance and Analysis Robotics Humans Imitative Behavior Bayes Theorem Algorithms
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A Machine Learning Architecture Replacing Heavy Instrumented Laboratory Tests: In Application to the Pullout Capacity of Geosynthetic Reinforced Soils.

Sensors (Basel, Switzerland) Nov 10, 2022
For economical and sustainable benefits, conventional retaining walls are being replaced by geosynthetic reinforced soil (GRS). However, for safety and quality assurance purposes, prior tests of pullout capacities of these materials need to be perfor...
Soil Machine Learning Bayes Theorem Algorithms Neural Networks, Computer
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Force-Sensorless Identification and Classification of Tissue Biomechanical Parameters for Robot-Assisted Palpation.

Sensors (Basel, Switzerland) Nov 10, 2022
The implementation of robotic systems for minimally invasive surgery and medical procedures is an active topic of research in recent years. One of the most common procedures is the palpation of soft tissues to identify their mechanical characteristic...
Robotics Palpation Minimally Invasive Surgical Procedures Bayes Theorem Touch
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Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.

BMC medical informatics and decision making Nov 9, 2022
BACKGROUND: Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs commonly result in resistance...
Support Vector Machine Bayes Theorem Mutation Neurons Epilepsy Algorithms Computer Simulation Humans Machine Learning
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Establishment of a model for predicting the outcome of induced labor in full-term pregnancy based on machine learning algorithm.

Scientific reports Nov 9, 2022
To evaluate and establish a prediction model of the outcome of induced labor based on machine learning algorithm. This was a cross-sectional design. The subjects were divided into primipara and multipara, and the risk factors for the outcomes of indu...
Algorithms Pregnancy Humans Machine Learning Bayes Theorem Labor, Induced Female Cross-Sectional Studies
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Invertible Neural BRDF for Object Inverse Rendering.

IEEE transactions on pattern analysis and machine intelligence Nov 7, 2022
We introduce a novel neural network-based BRDF model and a Bayesian framework for object inverse rendering, i.e., joint estimation of reflectance and natural illumination from a single image of an object of known geometry. The BRDF is expressed with ...
Algorithms Bayes Theorem Neural Networks, Computer Lighting
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Privacy Preserving Defense For Black Box Classifiers Against On-Line Adversarial Attacks.

IEEE transactions on pattern analysis and machine intelligence Nov 7, 2022
Deep learning models have been shown to be vulnerable to adversarial attacks. Adversarial attacks are imperceptible perturbations added to an image such that the deep learning model misclassifies the image with a high confidence. Existing adversarial...
Algorithms Bayes Theorem Privacy Neural Networks, Computer
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Bayesian deep learning for error estimation in the analysis of anomalous diffusion.

Nature communications Nov 7, 2022
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion in a wide variety of systems, from single-molecule motion in living-cells to movement ecology. The quest is to decipher the physical mechanisms encoded in th...
Motion Machine Learning Bayes Theorem Diffusion Deep Learning
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