Proceedings of the 7th International Conference on Learning Representations (ICLR 2019)
, , Struminsky K. et al., , in : Proceedings of the 7th International Conference on Learning Representations (ICLR 2019). : ICLR, 2019. P. 1-17.
Bayesian inference is known to provide a general framework for incorporating prior knowledge or specific properties into machine learning models via carefully choosing a prior distribution. In this work, we propose a new type of prior distributions for convolutional neural networks, deep weight prior (DWP), that exploit generative models to encourage a specific structure of ...
Added: September 2, 2019
Neklyudov K. O., , et al., , in : Proceedings of the 7th International Conference on Learning Representations (ICLR 2019). : ICLR, 2019. P. 1-16.
Ordinary stochastic neural networks mostly rely on the expected values of their weights to make predictions, whereas the induced noise is mostly used to capture the uncertainty, prevent overfitting and slightly boost the performance through test-time averaging. In this paper, we introduce variance layers, a different kind of stochastic layers. Each weight of a variance ...
Added: November 20, 2019
Vetrov D., , , in : Proceedings of the 7th International Conference on Learning Representations (ICLR 2019). : ICLR, 2019. P. 1-25.
We propose a single neural probabilistic model based on variational autoencoder that can be conditioned on an arbitrary subset of observed features and then sample the remaining features in "one shot". The features may be both real-valued and categorical. Training of the model is performed by stochastic variational Bayes. The experimental evaluation on synthetic data, ...
Added: March 13, 2020
In this paper, we present a LinkNet-based architecture with SE-ResNeXt-50 encoder and a novel training strategy that strongly relies on image preprocessing and incorporating distorted network outputs. The architecture combines a pre-trained convolutional encoder and a symmetric expanding path that enables precise localization. We show that such a network can be trained on plain RGB ...
Added: February 20, 2021
, , Microsoft Journal of Applied Research, USA 2019 Vol. 12 P. 140-150
In this paper, we present a new Python library called mPyPl, which is intended to simplify complex data processing tasks using a functional approach. This library defines operations on lazy data streams of named dictionaries represented as generators (so-called multi-field datastreams), and allows enriching those data streams with more ’fields’ in the process of data ...
Added: November 20, 2020
, , et al., Informatsionno-upravliaiushchie sistemy [Information and Control Systems] 2020 No. 1 P. 2-14
Introduction: Sentiment analysis is a complex problem whose solution essentially depends on the context, field of study and amount of text data. Analysis of publications shows that the authors often do not use the full range of possible data transformations and their combinations. Only a part of the transformations is used, limiting the ways to ...
Added: February 20, 2020
, Открытые системы. СУБД 2016 № 1
Технологии обработки естественного языка сегодня шагнули далеко вперед, и немалая заслуга в этом принадлежит машинному обучению, применяемому, в частности, для понимания текстов. ...
Added: December 10, 2017
Simulating the time projection chamber responses at the MPD detector using generative adversarial networks
, , et al., The European Physical Journal C - Particles and Fields 2021 Vol. 81 Article 599
High energy physics experiments rely heavily on the detailed detector simulation models in many tasks. Running these detailed models typically requires a notable amount of the computing time available to the experiments. In this work, we demonstrate a new approach to speed up the simulation of the Time Projection Chamber tracker of the MPD experiment at ...
Added: July 12, 2021
Intelligent Data Processing 11th International Conference, IDP 2016, Barcelona, Spain, October 10–14, 2016, Revised Selected Papers
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
, , , Scientific Reports 2020 Vol. 10 P. 19134
Computational methods to predict Z-DNA regions are in high demand to understand the functional role of Z-DNA. The previous state-of-the-art method Z-Hunt is based on statistical mechanical and energy considerations about B- to Z-DNA transition using sequence information. Z-DNA CHiP-seq experiment results showed little overlap with Z-Hunt predictions implying that sequence information only is not ...
Added: December 11, 2020
, , Образовательные ресурсы и технологии 2014 № 2 С. 102-106
The paper describes new types of expert systems. The urgent problem of lack of developers who can create such systems is defined. Some requirements to organize studying process of developers are proposed. How requirements are fulfilled in the center of excellence of EC-leasing Company is shown ...
Added: November 13, 2016
Machine learning competitions have grown in popularity and impact over the last decade, emerging as an effective means to advance the state of the art by posing well-structured, relevant, and challenging problems to the community at large. Motivated by a reward or merely the satisfaction of seeing their machine learning algorithm reach the top of ...
Added: December 28, 2020
his volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics. Competitions have become ...
Added: December 2, 2019
, , et al., Proceedings of the Institute for System Programming of the RAS 2019 Vol. 31 No. 5 P. 191-202
The problem regarding the use of machine learning in cybersecurity is difficult to solve because the advances in the field offer many opportunities that it is challenging to find exceptional and beneficial use cases for implementation and decision making. Moreover, such technologies can be used by intruders to attack computer systems. The goal of this ...
Added: December 31, 2019
, Journal of Physics: Conference Series 2021 Vol. 1740 No. 1 P. 012013
In the paper, three algorithms for predicting protein side-chain conformations are suggested and discussed. All proposed approaches analyze the local neighborhood of the target residue to avoid'steric clashes'. Strong and weak points of the algorithms are described, and ways of improving their outcomes are suggested. The approach based on predicting conformations for all residues in ...
Added: April 16, 2021
Foundations of Intelligent Systems. 25th International Symposium on Methodologies for Intelligent Systems: ISMIS 2020
This book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 35 full and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. Included is also ...
Added: October 4, 2020
, , et al., Current Medicinal Chemistry 2021 Vol. 28 No. 32 P. 6619-6653
Purpose: Systems biology and network modeling represent, nowadays, the hallmark approaches for the development of predictive and targeted-treatment based precision medicine. The study of health and disease as properties of the human body system allows the understanding of the genotype-phenotype relationship through the definition of molecular interactions and dependencies. In this scenario, metabolism plays a ...
Added: August 25, 2021
Piscataway : IEEE, 2020
2020 International Joint Conference on Neural Networks (IJCNN) held virtually, as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020. IJCNN 2020 is jointly organized by the IEEE Computational Intelligence Society (CIS) and the International Neural Network Society (INNS). For IJCNN 2020 (and when WCCI is organized in even-numbered years) IEEE CIS ...
Added: October 15, 2020
, Качество. Инновации. Образование 2014 № 12 (115) С. 26-32
The experience of virtual environments application for doing of practical works in a field of information-telecommunication technologies is described. Variants of virtual environments realizations for work with a part of local network are considered. Information about realization of virtual environment in a personal computer is reported. ...
Added: March 11, 2015
Совершенствование преподавания дисциплин математического цикла на основе инвариантов, необходимых для преподавания курса «Эконометрика» экономистам-бакалаврам
, , Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки 2019 Т. 55 № 3 С. 183-189
The article describes a method that allows to improve the content of disciplines of the mathematical cycle by dividing them into invariant (general) and variable parts. The invariants were identified for such disciplines as «Linear algebra», «Mathematical analysis», «Probability theory and mathematical statistics» delivered to Bachelors program students of economics at several universities. Based on ...
Added: January 28, 2020
Чебоксары : ИД «Среда», 2018
В коллективной монографии представлены научно-исследовательские материалы известных и начинающих ученых, объединенные основной темой современного видения путей развития науки и образования. ...
Added: October 11, 2018
Qualimetric methods in the evaluation of the quality of professional training of specialists in social work
, , , Review of European Studies 2015 Vol. 7 No. 3 P. 66-79
Currently systematic passage social workers training courses and professional training is regarded as one of the necessary conditions for improving their professional competence, professional culture and personal development, as well as enhance their competitiveness in today's job market. In modern Russia the question about the quality of the implementation of training courses and professional training ...
Added: January 23, 2018
Advances in Intelligent Systems and Computing. Interactive Collaborative Learning Proceedings of the 19th ICL Conference
NY : Springer, 2016
The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent ...
Added: January 12, 2017
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014)
Prague : CEUR Workshop Proceedings, 2014
The first and the second edition of the FCA4AI Workshop showed that many researchers working in Artificial Intelligence are indeed interested by a well-founded method for classi- fication and mining such as Formal Concept Analysis (see http://www.fca4ai.hse.ru/). The first edition of FCA4AI was co-located with ECAI 2012 in Montpellier and published as http://ceur-ws.org/Vol-939/ while the ...
Added: September 12, 2014
, 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
Barcelona : International Association of Technology, Education and Development , 2012
Added: September 11, 2012
Труды Большого московского семинара по методике раннего обучения информатике: в 10 т. Том 4. Часть II.
М. : Издательство РГСУ, 2015
В сборник представлены материалы заседаний Большого московского семинара по методике раннего обучения информатике. ...
Added: February 20, 2015