книга Artificial Intelligence: 16th Russian Conference, RCAI 2018, Moscow, Russia, September 24-27, 2018, Proceedings

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Artificial Intelligence: 16th Russian Conference, RCAI 2018, Moscow, Russia, September 24-27, 2018, Proceedings

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Название: Artificial Intelligence: 16th Russian Conference, RCAI 2018, Moscow, Russia, September 24-27, 2018, Proceedings
Автор: Sergei O. Kuznetsov, Gennady S. Osipov
Страниц: 304
Формат: PDF
Размер: 27.5 MB
Качество: Отличное
Язык: Английский
Год издания: 2018


 This book constitutes the proceedings of the 16th Russian Conference on Artificial Intelligence, RCAI 2018, Moscow, Russia, in September 2018. The 22 full papers presented along with 4 short papers in this volume were carefully reviewed and selected from 75 submissions. The conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, reasoning, decision making, natural language processing, vision, intelligent robotics, multi-agent systems, machine learning, ontology engineering.

Contents:

Spatial Reasoning and Planning in Sign-Based World Model

Data Mining for Automated Assessment of Home Loan Approval

Feature Selection and Identification of Fuzzy Classifiers Based on the Cuckoo Search Algorithm

Knowledge Engineering in Construction of Expert Systems on Hereditary Diseases

Machine Learning Based on Similarity Operation

A Method of Dynamic Visual Scene Analysis Based on Convolutional Neural Network

Extended Stepping Theories of Active Logic: Paraconsistent Semantics

Processing Heterogeneous Diagnostic Information on the Basis of a Hybrid Neural Model of Dempster-Shafer

Neuro-Fuzzy System Based on Fuzzy Truth Value

Architecture of a Qualitative Cognitive Agent

Recognition of Multiword Expressions Using Word Embeddings

Hierarchical Aggregation of Object Attributes in Multiple Criteria Decision Making

eLIAN: Enhanced Algorithm for Angle-Constrained Path Finding

Mobile Robotic Table with Artificial Intelligence Applied to the Separate and Classified Positioning of Objects for Computer-Integrated Manufacturing

Hybrid Neural Networks for Time Series Forecasting

Resource Network with Limitations on Vertex Capacities: A Double-Threshold Dynamic Flow Model

Protection of Information in Networks Based on Methods of Machine Learning ...


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