Titlebook: Artificial Intelligence; 19th Russian Confere Sergei M. Kovalev,Sergei O. Kuznetsov,Aleksandr I. Conference proceedings 2021 Springer Natur

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HATCH

Unternehmen als Institution und Organisationontinuous and categorical forms the best developed predictive model was logistic regression models ensemble with the following quality metrics: area under the ROC curve 0.85, accuracy - 0.80, sensitivity - 0.82, and specificity - 0. 73, which is higher than the existing CAD Consortium scale.

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Identification of the Network State Based on the ART-2 Neural Network with a Hierarchical Memory Strnts were carried out using the NSL KDD-2009 sample, the results of which show the possibility of using ART-2m in intrusion detection systems. Most states were determined with sufficient accuracy that is greater than 80%.

Mosaic

Machine Learning for Assessment of Cardiometabolic Risk Factors Predictive Potential and Prediction ontinuous and categorical forms the best developed predictive model was logistic regression models ensemble with the following quality metrics: area under the ROC curve 0.85, accuracy - 0.80, sensitivity - 0.82, and specificity - 0. 73, which is higher than the existing CAD Consortium scale.

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Conference proceedings 2021.The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical headings: cognitive research; data mining, machine learning, classification; knowledge en

慢慢流出

Polydipsia

Camouflage

Conference proceedings 2021wide range of topics, categorized into the following topical headings: cognitive research; data mining, machine learning, classification; knowledge engineering; multi-agent systems and robotics; natural language processing; fuzzy models and soft computer; intelligent systems; and tools for designing intelligent systems. .

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褪色

Permissive Arbeitsbeziehungen besonderer Art classes of fragments of atomic diagrams of algebraic systems and axiomatizable classes of fragments of atomic diagrams are studied. The apparatus of Boolean-valued and fuzzy models is used to obtain new knowledge about the domain cases.