Методы машинного обучения в задачах моделирования целенаправленного поведения
The volume contains the abstracts of the 12th International Conference "Intelligent Data Processing: Theory and Applications". The conference is organized by the Russian Academy of Sciences, the Federal Research Center "Informatics and Control" of the Russian Academy of Sciences and the Scientific and Coordination Center "Digital Methods of Data Mining". The conference has being held biennially since 1989. It is one of the most recognizable scientific forums on data mining, machine learning, pattern recognition, image analysis, signal processing, and discrete analysis. The Organizing Committee of IDP-2018 is grateful to Forecsys Co. and CFRS Co. for providing assistance in the conference preparation and execution. The conference is funded by RFBR, grant 18-07-20075. The conference website http://mmro.ru/en/.
The Fifth HCT Information Technology Trends (ITT 2018) is a major international research conference for the presentation of innovative ideas, approaches, technologies, research findings and outcomes, best practices and case studies, national and international projects, institutional standards and policies on Emerging Technologies for Artificial Intelligence. ITT 2018 will provide an outstanding forum for researchers, practitioners, students, policy makers, and users to exchange ideas, techniques and tools, raise awareness and share experiences related to all practical and theoretical aspects of Emerging Technologies for Artificial Intelligence, so as to develop solutions related to communications, computer science and engineering, control systems as well as interdisciplinary research and applications.
In the process of developing an information system for logistics transportation, there is a need to determine the initial rating of the new carrier within the parent company. The presence of the rating helps to more accurately carry out the formation of orders and build forecasts of its interaction with the parent company in the future
In this paper, we study the problem of predicting quantity of collaborations in co-authorship network. We formulated our task in terms of link prediction problem on weighted co-authorship network, formed by authors writing papers in co-authorship represented by edges between authors in the network. Our task is formulated as regression for edge weights, for which we use node2vec network embedding and new family of edge embedding operators. We evaluate our model on AMiner co-authorship network and showed that our model of network edge representation has better performance for stated regression link prediction task.
L’ouvrage d’Adrian Mackenzie, professeur au Département de sociologie à l’Université de Lancaster, est d’un genre inédit au sein de la littérature émergente, mais encore peu étendue en sciences humaines et sociales, qui explore le fonctionnement du machine learning (ML). Les avancées spectaculaires de cette branche de l’intelligence artificielle (IA) depuis quelques années ont éclipsé les autres approches en la matière et ont soudainement transformé l’IA en un problème social et politique. Plusieurs auteurs ont déjà insisté sur la nécessité de focaliser le regard sur les outils de l’IA, en pointant les limites des travaux qui ne traitent que des effets sociaux des « algorithmes ». Comme le fait remarquer l’anthropologue des sciences et des techniques Nick Seaver, la plupart des travaux sur le sujet s’agitent au sujet des « algorithmes » ou le « big data », en insistant sur leurs effets néfastes, voire catastrophiques, pour la société sans jamais préciser exactement ce qu’ils sont. Le transfert des connaissances et des perspectives entre les spécialistes en IA et en SHS (d’ailleurs dans les deux sens) est pourtant indispensable pour en proposer une critique informée et efficace.
This volume is the supplementary volume of the 14th International Conference on Formal Concept Analysis (ICFCA 2017), held from June 13th to 16th 2017, at IRISA, Rennes. The ICFCA conference series is one of the major venues for researches from the field of Formal Concept Analysis and related areas to present and discuss their recent work with colleagues from all over the world. Since it has been started in 2003 in Darmstadt, the ICFCA conference series had been held in Europe, Australia, America, and Africa.
The field of Formal Concept Analysis (FCA) originated in the 1980s in Darmstadt as a subfield of mathematical order theory, with prior developments in other research groups. Its original motivation was to consider complete lattices as lattices of concepts, drawing motivation from philosophy and mathematics alike. FCA has since then devel- oped into a wide research area with applications much beyond its original motivation, for example in logic, data mining, learning, and psychology.
The FCA community is mourning the passing of Rudolf Wille on January 22nd 2017 in Bickenbach, Germany. As one of the leading researchers throughout the history of FCA, he was responsible for inventing and shaping many of the fundamental notions of this area. Indeed, the publication of his article ”Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts” is seen by many as the starting point of Formal Concept Analysis as an independent direction of research. He was head of the FCA research group in Darmstadt from 1983 until his retirement in 2003, and remained an active researcher and contributor thereafter. In 2003, he was among the founding members of the ICFCA conference series.
For this supplementary volume, 13 papers were chosen to be published: four papers judged mature enough to be discussed at the conference and nine papers presented in the demonstration and poster session.