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Belief Functions: Theory and Applications
Academic editor: F. Cuzzolin
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; networks; information fusion; data association; and geometry.
Lepskiy A., , in : Belief Functions: Theory and Applications. Vol. 8764.: Dordrecht, L., Heidelberg, NY : Springer, 2014. P. 29-38.
Some general schemes and examples of aggregation of two belief functions into a single belief function are considered in this paper.
We find some sufficient conditions of change of ignorance when evidences are combined with the help of various rules. It is shown that combining rules can be regarded as pessimistic or optimistic depending on the ...
Added: October 1, 2014
Bronevich A., Розенберг И. Н., , in : Belief Functions: Theory and Applications. Vol. 8764.: Dordrecht, L., Heidelberg, NY : Springer, 2014. P. 21-28.
In the paper we investigate the criteria of choosing generalized Dempster-Shafer rules for aggregating sources of information presented by belief functions. The approach is based on measuring various types of uncertainty in information and we use for this linear imprecision indices. Some results concerning properties of such rules are also presented. ...
Added: March 5, 2015
Berlin : Association for Computational Linguistics, 2016
The 2016 Conference on Computational Natural Language Learning is the twentieth in the series of annual meetings organized by SIGNLL, the ACL special interest group on natural language learning. CoNLL 2016 will be held on August 11-12, 2016, and is co-located with the 54th annual meeting of the Association for Computational Linguistics (ACL) in Berlin, ...
Added: November 12, 2016
Aachen : CEUR Workshop Proceedings, 2019
Workshop concentrates on an interdisciplinary approach to modelling human behavior incorporating data mining and expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments will be compared with noisy industrial datasets from the web e.g. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to ...
Added: November 19, 2019
Perov A., Пестунов А. И., Прикладная дискретная математика 2020 № 3 С. 46-56
The paper explores possibility of applying convolutional neural networks to the security analysis of iterative block ciphers. A new approach for constructing distinguishing
attacks based on a convolutional neural network is proposed. The approach is based
on distinguishing between graphic equivalents of ciphertexts received by the CTR
(counter) encryption mode after different number of rounds, including the number
of ...
Added: November 1, 2021
CEUR-WS.org, 2020
The CLA conference is an international forum for researchers, practitioners and students dedicated to the practice of Formal Concept Analysis (FCA) and areas closely related to it, including data analysis and mining, information retrieval, knowledge management, knowledge engineering, logic, algebra and lattice theory.
The 15th of CLA, CLA 2020, was going to be held in Tallinn, Estonia ...
Added: October 30, 2020
Singapore : Springer, 2021
This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the ...
Added: June 18, 2021
Springer, 2020
Added: September 8, 2020
CEUR Workshop Proceedings, 2019
This volume contains the papers presented at the session "Data Science" within the V International Conference on Information Technology and Nanotechnology (ITNT-2019). The conference was held in Samara, Russia, during May 21-24, 2019 (itnt-conf.org). The conference is a forum for leading researchers from all over the world aimed to discuss the latest advances in the ...
Added: September 13, 2019
V'yugin V., М. : МЦНМО, 2013
Книга предназначена для первоначлаьного знакомства с математическими основами современной теории машинного обучения (Machine Learning) и теории игр на предсказания. В первой части излагаются основы статистической теории машинного обучения, рассматриваются задачи классификации и регрессии с опорными векторами, теория обобщения и алгоритмы построения разделяющих гиперплоскостей. Во второй и третьей частях рассматриваются задачи адаптивного прогнозирования в нестохастических теоретико-игровой ...
Added: July 9, 2014
White M., Tarakanov A., Withers P. et al., Computational Materials Science 2023 Vol. 218 Article 111985
Finding efficient means of quantitatively describing material microstructure is a critical step towards harnessing data-centric machine learning approaches to understanding and predicting processing–microstructure–property relationships. Current quantitative descriptors of microstructure tend to consider only specific, narrow features such as grain size or phase fractions, but these metrics discard vast amounts of information. Since the gain in ...
Added: April 10, 2023
Springer, 2020
This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019.
The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed). The papers are organized ...
Added: February 9, 2020
Springer, 2022
This book constitutes selected and revised papers from the 22nd International Conference on Mathematical Modeling and Supercomputer Technologies, MMST 2022, held in Nizhny Novgorod, Russia, in November 2022.
The 20 full papers and 5 short papers presented in the volume were thoroughly reviewed and selected from the 48 submissions. They are organized in topical secions on computational methods ...
Added: December 26, 2022
Switzerland : Springer, 2019
This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Processing, IDP 2016, held in Barcelona, Spain, in October 2016.
The 11 revised full papers were carefully reviewed and selected from 52 submissions. The papers of this volume are organized in topical sections on machine learning theory with applications; intelligent data processing in life ...
Added: February 8, 2020
Switzerland : Springer, 2014
This volume is important for scientist working on the forefront of optimization and machine learning. It presents methods, algorithms and theories tahat are used in a vast spectrum of fields. ...
Added: December 15, 2014
Springer, 2021
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021.
The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length.
The research part ...
Added: July 10, 2021
Kuznetsov V. O., Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
Springer, 2021
This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 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 ...
Added: October 28, 2021
Ignatov D. I., Nikolenko S. I., Abaev T. et al., Expert Systems with Applications 2016 Vol. 55 P. 546-558
We present a new recommender system developed for the Russian interactive radio network FMhost. To the best of our knowledge, it is the first model and associated case study for recommending radio stations hosted by real DJs rather than automatically built streamed playlists. To address such problems as cold start, gray sheep, boosting of rankings, preference ...
Added: June 28, 2016
Springer, 2014
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective ...
Added: August 13, 2014
Popkov Y., Dubnov Y. A., Volkovich Z. et al., Entropy 2017 Vol. 19(4) No. 178 P. 1-14
A proposal for a new method of classification of objects of various nature, named “2”-soft classification, which allows for referring objects to one of two types with optimal entropy probability for available collection of learning data with consideration of additive errors therein. A decision rule of randomized parameters and probability density function (PDF) is formed, ...
Added: May 26, 2017
Нужный А. С., Однолько И. С., Глухов А. Ю. et al., Прикладная математика и вопросы управления 2021 № 1 С. 7-22
The paper proposes a mathematical model to optimize the operation of the tar hydrocracking unit.
The purpose of modeling is to improve the economic effect of product output by selecting optimal parameters,
such as hydrogen flow rate and reactor temperature. Hot Filtered Precipitation (HFT) is used as a target.
The model involves the search for the minimum value ...
Added: April 11, 2021
Association for Computational Linguistics, 2014
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics held 26–30 April 2014 in Gothenburg, Sweden. ...
Added: October 24, 2013
Naidenova X., Ignatov D. I., Hershey : IGI Global, 2012
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users’ requirements and the quality of solving targeted problems in domain applications.
Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and ...
Added: December 3, 2012
Cham : Springer, 2020
This book constitutes the proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The papers are grouped in these topical sections: discrete optimization; mathematical programming; game ...
Added: September 2, 2020
CEUR Workshop Proceedings, 2019
Added: October 31, 2019