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Machine Learning, Optimization, and Big Data. First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015. Lecture Notes in Computer Science
Vol. 9432.
Springer, 2015.
Under the general editorship: Pardalos P. M., M. Pavone, G. M. Farinella, V. Cutello
This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily, Italy, in July 2015.
The 32 papers presented in this volume were carefully reviewed and selected from 73 submissions. They deal with the algorithms, methods and theories relevant in data science, optimization and machine learning.
Mikhail Batsyn, Alexander Ponomarenko, , in : Machine Learning, Optimization, and Big Data. First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015. Lecture Notes in Computer Science. Vol. 9432.: Springer, 2015. P. 65-79.
In this paper we develop an iterative insertion heuristic for a site-dependent truck and trailer routing problem with soft and hard time windows and split deliveries. In the considered problem a truck can leave its trailer for unloading or parking, make a truck-subtour to serve truck-customers, and return back to take the trailer. This can ...
Added: October 23, 2018
Zykov S. V., Андрианова Е. Г., Жуков Д. О. et al., Российский технологический журнал 2018 Т. 7 № 1 С. 4-45
The relevance of scientific research in the field of quantum informatics is grounded. Highlighted promising areas of research. For foreign and Russian publications and materials, an overview of the main scientific results characterizing the current state of quantum informatics has been made. It is concluded that knowledge and resources are most intensively invested in the ...
Added: January 31, 2019
Birkhauser/Springer, 2017
This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining ...
Added: September 18, 2017
Springer, 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
Yuri Evtushenko, Mikhail Posypkin, Turkin A. et al., Journal of Global Optimization 2018 Vol. 71 No. 1 P. 129-145
In this paper we propose a method for solving systems of nonlinear inequalities with predefined accuracy based on nonuniform covering concept formerly adopted for global optimization. The method generates inner and outer approximations of the solution set. We describe the general concept and three ways of numerical implementation of the method. The first one is ...
Added: October 31, 2018
Cham : Springer, 2019
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data ...
Added: October 17, 2019
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
Шибитов Д., / Банк России. Series 69 "Bank of Russia Working Paper". 2021.
We show, how the forecasting performance of models varies, when certain inaccuracies in the pseudo real-time experiment take place. We consider the case of Russian CPI forecasting and estimate several models on not seasonally adjusted data vintages. Particular attention is paid to the availability of the variables at the moment of forecast: we take into account the release timing of the series and the corresponding release delays, in order to reconstruct the forecasting in real-time. In the series of experiments, we quantify how each of these issues affect ...
Added: October 31, 2021
Springer, 2019
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.
The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:
Part I: best ranked papers; machine learning; pattern recognition; ...
Added: September 23, 2019
Switzerland : Springer, 2014
This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of ...
Added: September 30, 2014
Sydney : [б.и.], 2017
Proceedings of Machine Learning Research. Volume 70: International Conference on Machine Learning, 6-11 August 2017, International Convention Centre, Sydney, Australia ...
Added: February 25, 2018
Rodriges Zalipynis R. A., PROCEEDINGS OF THE VLDB ENDOWMENT 2021 Vol. 14 No. 12 P. 3186-3189
Array DBMSs strive to be the best systems for managing, processing, and even visualizing big N-d arrays. The last decade blossomed with R&D in array DBMS, making it a young and fast-evolving area. We present the first comprehensive tutorial on array DBMS R&D. We start from past impactful results that are still relevant today, then ...
Added: June 4, 2021
Springer, 2018
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.
The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; ...
Added: October 30, 2018
Springer, 2017
This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced ...
Added: June 26, 2017
Kiselyova N. N., Dudarev V., Ryazanov V. V. et al., Inorganic Materials: Applied Research 2021 Vol. 12 No. 2 P. 328-336
New chalcospinels of the most common compositions were predicted: AIBIIICIVX4 (X = S or Se)
and AIIBIIICIIIS4 (A, B, and C are various chemical elements). They are promising for the search for new
materials for magneto-optical memory elements, sensors, and anodes in sodium-ion batteries. The parameter
“a” values of their crystal lattice are estimated. When predicting, only the ...
Added: April 2, 2021
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
PMLR, 2021
This volume compiles a selection of papers associated with the fourth edition of the Demonstration and Competition Track at NeurIPS 2020. The track comprised 16 competitions and 20 demonstrations. Competition and demonstration proposals were subject to a strict reviewing process to ensure the quality of the accepted events. After a selective process, the accepted competitions ...
Added: September 6, 2021
Santoro A., Bartunov S., Botvinick M. et al., Journal of Machine Learning Research 2016 Vol. 48
Despite recent breakthroughs in the applications of deep neural networks, one setting that presents a persistent challenge is that of "one-shot learning." Traditional gradient-based networks require a lot of data to learn, often through extensive iterative training. When new data is encountered, the models must inefficiently relearn their parameters to adequately incorporate the new information ...
Added: October 19, 2016
Izmailov P., Kropotov D., Journal of machine learning and data analysis 2017 Vol. 3 No. 1 P. 20-35
Background: Gaussian processes (GP) provide an elegant and effective approach to learning in kernel machines. This approach leads to a highly interpretable model and allows using the Bayesian framework for model adaptation and incorporating the prior knowledge about the problem. The GP framework is successfully applied to regression, classification, and dimensionality reduction problems. Unfortunately, the ...
Added: December 6, 2018
Derkach D., Hushchyn M., Kazeev N. et al., Journal of High Energy Physics 2019 Vol. 2019 No. 2 P. 1-33
A search for CP violation in the Cabibbo-suppressed D0 → K+K−π+π− decay mode is performed using an amplitude analysis. The measurement uses a sample of pp collisions recorded by the LHCb experiment during 2011 and 2012, corresponding to an integrated luminosity of 3.0 fb−1. The D0 mesons are reconstructed from semileptonic b-hadron decays into D0μ−X final states. The selected sample contains more than 160 000 signal decays, allowing ...
Added: March 17, 2019
Springer, 2014
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and ...
Added: September 30, 2014
NY : IEEE, 2016
This paper aims to tackle the problem of brain network classification with machine learning algorithms using spectra of networks’ matrices. Two approaches are discussed: first, linear and tree-based models are trained on the vectors of sorted eigenvalues of the adjacency matrix, the Laplacian matrix and the normalized Laplacian; next, SVM classifier is trained with kernels ...
Added: December 9, 2016
Berlin : Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
Cham : Springer, 2023
This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP.
The 20 full papers and 7 short papers presented in this book were carefully reviewed ...
Added: April 4, 2023
Nazarov A., Сычев А. К., Voronkov I. M., IEEE, 2019
The article describes the shortcomings of the modern datasets used in the development of next-generation intrusion detection systems and proposed new requirements for datasets. Based on the requirements, new software architecture has been proposed, which allows to model modern computer attacks and at the same time “mark up” logs generated on hosts and by network ...
Added: May 8, 2020