AIMC Topic: Bayes Theorem

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Capped Linex Metric Twin Support Vector Machine for Robust Classification.

Sensors (Basel, Switzerland) Aug 31, 2022
In this paper, a novel robust loss function is designed, namely, capped linear loss function Laε. Simultaneously, we give some ideal and important properties of Laε, such as boundedness, nonconvexity and robustness. Furthermore, a new binary classifi...
Algorithms Support Vector Machine Bayes Theorem
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Synthesizing theories of human language with Bayesian program induction.

Nature communications Aug 30, 2022
Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. We present a framework for algorithmically synthesizing models of a basic part of human language: morpho-pho...
Humans Artificial Intelligence Language Learning Bayes Theorem Linguistics
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Sparse Bayesian Model and Artificial Intelligence in Enterprise Goodwill Evaluation and Dynamic Management.

Computational intelligence and neuroscience Aug 29, 2022
With the rapid development of mobile Internet information technology, automated search text has occupied a leading position in many industries. This article not only makes a detailed case study on the basic working principles of text feature extracti...
Artificial Intelligence Algorithms Technology Bayes Theorem Information Technology
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Facial Expression Recognition Based on LDA Feature Space Optimization.

Computational intelligence and neuroscience Aug 29, 2022
With the development of artificial intelligence, facial expression recognition has become an important part of the current research due to its wide application potential. However, the qualities of the face features will directly affect the accuracy o...
Artificial Intelligence Algorithms Bayes Theorem Discriminant Analysis Pattern Recognition, Automated Facial Recognition
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Machine Learning and Lexicon Approach to Texts Processing in the Detection of Degrees of Toxicity in Online Discussions.

Sensors (Basel, Switzerland) Aug 27, 2022
This article focuses on the problem of detecting toxicity in online discussions. Toxicity is currently a serious problem when people are largely influenced by opinions on social networks. We offer a solution based on classification models using machi...
Humans Machine Learning Support Vector Machine Bayes Theorem
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EpICC: A Bayesian neural network model with uncertainty correction for a more accurate classification of cancer.

Scientific reports Aug 26, 2022
Accurate classification of cancers into their types and subtypes holds the key for choosing the right treatment strategy and can greatly impact patient well-being. However, existence of large-scale variations in the molecular processes driving even a...
Humans Neural Networks, Computer Neoplasms Bayes Theorem Uncertainty
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Managing and Retrieving Bilingual Documents Using Artificial Intelligence-Based Ontological Framework.

Computational intelligence and neuroscience Aug 25, 2022
In recent times, artificial intelligence (AI) methods have been applied in document and content management to make decisions and improve the organization's functionalities. However, the lack of semantics and restricted metadata hinders the current do...
Artificial Intelligence Bayes Theorem Information Storage and Retrieval Semantics
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An Assessment of Lexical, Network, and Content-Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models.

Computational intelligence and neuroscience Aug 25, 2022
The World Wide Web services are essential in our daily lives and are available to communities through Uniform Resource Locator (URL). Attackers utilize such means of communication and create malicious URLs to conduct fraudulent activities and deceive...
Machine Learning Algorithms Deep Learning Bayes Theorem
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Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta-analysis.

Journal of cardiac surgery Aug 24, 2022
BACKGROUND: Machine learning (ML) models are promising tools for predicting adverse postoperative outcomes in cardiac surgery, yet have not translated to routine clinical use. We conducted a systematic review and meta-analysis to assess the predictiv...
Humans Machine Learning Hospital Mortality Logistic Models Bayes Theorem Cardiac Surgical Procedures
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Classification of Musculoskeletal Radiograph Requisition Appropriateness Using Machine Learning.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Aug 23, 2022
Poor quality imaging requisitions lower report quality and impede good patient care. Manual control of such requisitions is time consuming and can be a source of friction with referring physicians. The purpose of this study was to determine if poor ...
Humans Machine Learning Radiography Bayes Theorem
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