AIMC Topic: Bayes Theorem

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Construction of English and American Literature Corpus Based on Machine Learning Algorithm.

Computational intelligence and neuroscience Jun 2, 2022
In China, the application of corpus in language teaching, especially in English and American literature teaching, is still in the preliminary research stage, and there are various shortcomings, which have not been paid due attention by front-line edu...
Bayes Theorem Language Machine Learning Support Vector Machine Algorithms
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Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression Trees.

Journal of pediatric gastroenterology and nutrition Jun 1, 2022
OBJECTIVE: To create a new methodology that has a single simple rule to identify height outliers in the electronic health records (EHR) of children.
Machine Learning Retrospective Studies Humans Child ROC Curve Bayes Theorem Electronic Health Records Child, Preschool
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AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network.

Scientific reports May 31, 2022
Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient machine learning model for fast intrusion detection and prevention ...
Bayes Theorem Linear Models Machine Learning Computer Simulation Normal Distribution Wireless Technology
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HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis.

Computers in biology and medicine May 30, 2022
A stable predictive model is essential for forecasting the chances of cesarean or C-section (CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and pediatric morbidity and mortality, and can incur significant financial ...
Infant, Newborn Child Bayes Theorem Solubility Machine Learning Algorithms Humans Artificial Intelligence
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Emergence of associative learning in a neuromorphic inference network.

Journal of neural engineering May 30, 2022
. In the theoretical framework of predictive coding and active inference, the brain can be viewed as instantiating a rich generative model of the world that predicts incoming sensory data while continuously updating its parameters via minimization of...
Synapses Neural Networks, Computer Artificial Intelligence Bayes Theorem Neurons
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Performance Evaluation of Machine Learning Algorithm for Classification of Unintended Pregnancy among Married Women in Bangladesh.

Journal of healthcare engineering May 28, 2022
Intended pregnancy is one of the significant indicators of women's well-being. Globally, 74 million women become pregnant every year without planning. Unintended pregnancies account for 28% of all pregnancies among married women in Bangladesh. This s...
Male Pregnancy, Unplanned Humans Bayes Theorem Pregnancy Support Vector Machine Machine Learning Bangladesh Female Algorithms
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Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics.

PLoS biology May 27, 2022
The rate of adaptive evolution depends on the rate at which beneficial mutations are introduced into a population and the fitness effects of those mutations. The rate of beneficial mutations and their expected fitness effects is often difficult to em...
Neural Networks, Computer Algorithms Saccharomyces cerevisiae Acclimatization Computer Simulation Bayes Theorem
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Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm.

Computational intelligence and neuroscience May 27, 2022
With the rapid economic development and rising consumption levels in recent years, people are becoming more and more demanding in terms of style and fashion of clothes. As a result, customer demand for personalised clothing is increasing and the need...
Clothing Decision Trees Bayes Theorem Artificial Intelligence Algorithms Humans
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A Decision Tree Model for Analysis and Judgment of Lower Limb Movement Comfort Level.

International journal of environmental research and public health May 25, 2022
To address the problem of ambiguity and one-sidedness in the evaluation of comprehensive comfort perceptions during lower limb exercise, this paper deconstructs the comfort perception into two dimensions: psychological comfort and physiological comfo...
Support Vector Machine Algorithms Bayes Theorem Lower Extremity Decision Trees Judgment
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An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images.

Computational intelligence and neuroscience May 25, 2022
The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that can lead to respiratory insufficiency. Reducing the supply of oxygen to human cells negatively impacts humans, and multiorgan failure with a high mort...
Bayes Theorem Neural Networks, Computer Humans Machine Learning Artificial Intelligence COVID-19
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