AIMC Topic: Bayes Theorem

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Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning.

Sensors (Basel, Switzerland) May 16, 2022
Over the past couple of decades, many telecommunication industries have passed through the different facets of the digital revolution by integrating artificial intelligence (AI) techniques into the way they run and define their processes. Relevant da...
Least-Squares Analysis Artificial Intelligence Machine Learning Algorithms Bayes Theorem
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Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network.

Sensors (Basel, Switzerland) May 16, 2022
Seismic response prediction is a challenging problem and is significant in every stage during a structure's life cycle. Deep neural network has proven to be an efficient tool in the response prediction of structures. However, a conventional neural ne...
Deep Learning Bayes Theorem Neural Networks, Computer Algorithms
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Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis.

Sensors (Basel, Switzerland) May 12, 2022
Sentiment analysis was nominated as a hot research topic a decade ago for its increasing importance in analyzing the people's opinions extracted from social media platforms. Although the Arabic language has a significant share of the content shared a...
Bayes Theorem Sentiment Analysis Language Deep Learning Humans Machine Learning
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Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images.

Computational intelligence and neuroscience May 12, 2022
Plaque deposits in the carotid artery are the major cause of stroke and atherosclerosis. Ultrasound imaging is used as an early indicator of disease progression. Classification of the images to identify plaque presence and intima-media thickness (IMT...
Carotid Intima-Media Thickness Algorithms Machine Learning Carotid Arteries Bayes Theorem
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Neural sampling machine with stochastic synapse allows brain-like learning and inference.

Nature communications May 11, 2022
Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level. Brain-inspired probabilistic models of neural network can explicitly handle the uncertainty...
Bayes Theorem Synapses Artificial Intelligence Brain Neural Networks, Computer
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Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance.

Computational intelligence and neuroscience May 9, 2022
Student performance is crucial to the success of tertiary institutions. Especially, academic achievement is one of the metrics used in rating top-quality universities. Despite the large volume of educational data, accurately predicting student perfor...
Students Support Vector Machine Machine Learning Humans Algorithms Neural Networks, Computer Decision Trees Linear Models Bayes Theorem Academic Success
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Artificial Intelligence: A Universal Virtual Tool to Augment Tutoring in Higher Education.

Computational intelligence and neuroscience May 9, 2022
Artificial intelligence is an emerging technology that revolutionizes human lives. Despite the fact that this technology is used in higher education, many professors are unaware of it. In this current scenario, there is a huge need to arise, implemen...
Support Vector Machine Bayes Theorem Machine Learning Algorithms Humans Artificial Intelligence
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ZeVigilante: Detecting Zero-Day Malware Using Machine Learning and Sandboxing Analysis Techniques.

Computational intelligence and neuroscience May 9, 2022
For the enormous growth and the hysterical impact of undocumented malicious software, otherwise known as Zero-Day malware, specialized practices were joined to implement systems capable of detecting these kinds of software to avert possible disastrou...
Neural Networks, Computer Machine Learning Support Vector Machine Bayes Theorem Software Algorithms
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Evolution and dispersal of mitochondrial DNA haplogroup U5 in Northern Europe: insights from an unsupervised learning approach to phylogeography.

BMC genomics May 7, 2022
BACKGROUND: We combined an unsupervised learning methodology for analyzing mitogenome sequences with maximum likelihood (ML) phylogenetics to make detailed inferences about the evolution and diversification of mitochondrial DNA (mtDNA) haplogroup U5,...
Unsupervised Machine Learning Bayes Theorem Europe Humans Evolution, Molecular Phylogeny Phylogeography Genetics, Population DNA, Mitochondrial Haplotypes
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Rainfall Prediction System Using Machine Learning Fusion for Smart Cities.

Sensors (Basel, Switzerland) May 4, 2022
Precipitation in any form-such as rain, snow, and hail-can affect day-to-day outdoor activities. Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult than before due to...
Support Vector Machine Fuzzy Logic Machine Learning Cities Bayes Theorem
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