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Метод отбора признаков на основе вероятностного подхода и перекрестной энтропии на примере задачи распознавания изображений
Искусственный интеллект и принятие решений. 2020. № 2. С. 78-85.
The paper considers the problem of feature selection in the classification problem. A method for selecting informative features based on a probabilistic approach and cross-entropy metrics is proposed. Several variants of the information criterion for selecting features for a binary classification problem are considered, as well as its generalization to the case of a multiclass problem. Demonstration examples of the proposed method for the task of image recognition from the mnist collection are given.
Dubnov Y. A., Информационные технологии и вычислительные системы 2018 № 2 С. 60-69
The paper considers the problem of reducing the dimension of the feature space for describing objects
in data analysis problems using the example of binary classification. The article provides a detailed
overview of existing approaches to solving this problem and proposes several modifications. In which
the dimensionality reduction is considered as the problem of extracting the most relevant ...
Added: July 4, 2018
Popkov Y., Popkov A., Dubnov Y. A., Математическое моделирование 2020 Т. 32 № 9 С. 35-52
We develop a new method of dimensionality reduction based on direct and inverse projection of data matrix and calculation of projectors minimizing cross-entropy functional. Concept of information capacity of matrix which is used as a restriction in a problem of optimal reduction is introduced. We conduct a comparison of proposed method with known ones based ...
Added: October 31, 2020
Башмаков А. И., Белоозеров В. Н., Starykh V., Информационные системы и технологии 2013 № 6(80) С. 88-102
In article process of construction formal ontology of information resources system for an education, that pursues the aim to reflect representation about this sphere in the automated systems intended for creation, account, ordering, storage, search and use of these resources in educational institutions of various level is stated. The system of information resources is set ...
Added: January 16, 2014
Galatenko V. V., Livshitz E., Podol’skii V. et al., International Journal of Applied Mathematics 2012 Vol. 25 No. 6 P. 871-882
A method for the automated real-time classification of psychological functional state is proposed. The classification is based on discrete wavelet transform of electroencephalographic data. The method consists of two preliminary stages — global feature selection and individual tuning, and the main stage — real-time classification. All stages are fully automated. The software implementation of this ...
Added: October 30, 2015
Dubnov Y. A., Scientific and Technical Information Processing 2021 Vol. 48 No. 6 P. 430-435
This paper considers the problem of feature selection in the classification problem. A method for selecting informative features based on a probabilistic approach and cross-entropy metrics is proposed. Several variants of the information criterion for selecting features for a binary classification problem are considered, as well as its generalization to the case of a multiclass ...
Added: October 28, 2022
Karasev A. A., Starykh V., Вестник МГТУ МИРЭА 2014 Т. 4 № 5 С. 113-121
This article is devoted to a solution of the problem of collecting and classification of the expert knowledge acquired during the operation of information systems aimed to organize expert knowledge bases. As perspective approach ontological theory use is offered; it provides a basis for building mathematical model of knowledge representation. Organization of objects hierarchy is ...
Added: February 10, 2015
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
Dubnov Y. A., Bulychev A., Информационные технологии и вычислительные системы 2017 № 1 С. 101-111
We consider a problem of parameters estimation for gaussian mixture models widely used in data analysis and unsupervised machine learning. A new model identification method based on Bayesian aproach and the principle of maximum posterior distribution is proposed. In the article we describe the method of multiextremum density function maximum definition using sampling by Metropolis-Hastings ...
Added: December 27, 2017
Savchenko A., Информационные системы и технологии 2015 № 4(90) С. 28-38
Рассмотрена проблема недостаточной вычислительной эффективности вероятностной нейронной сети (ВНС) в задачах распознавания образов при наличии в базе данных для каждого класса небольшого числа эталонов. На основе проекционных оценок плотности распределения с ядром Фейера и наивного предположения о независимости признаков классифицируемого объекта синтезирована новая модификация ВНС. Экспериментально показано, что предложенный классификатор оказался несколько точнее и намного ...
Added: October 8, 2015
Emmanuel I. C., Mitrofanova E., / Cornell Tech. Series 4064475 "ArXiv Preprint". 2022.
The paper is devoted to the study of the model fairness and process fairness of the Russian demographic dataset by making predictions of divorce of the 1st marriage, religiosity, 1st employment and completion of education. Our goal was to make classifiers more equitable by reducing their reliance on sensitive features while increasing or at least ...
Added: May 31, 2022
Kashnitsky Y., Ignatov D. I., Интеллектуальные системы. Теория и приложения 2015 Т. 19 № 4 С. 37-55
The paper makes a brief introduction into multiple classifier systems and describes a particular algorithm which improves classification accuracy by making a recommendation of an algorithm to an object. This recommendation is done under a hypothesis that a classifier is likely to predict the label of the object correctly if it has correctly classified its ...
Added: December 7, 2015
Kuznetsov S., Serdyukov P., Segalovich I. et al., L. : Springer, 2013
Higher School of Economics (HSE) and supported by the Information Retrieval Specialist Group at the British Computer Society (BCS–IRSG). The conference was held during March 24–27, 2013, in Moscow, Russia – the easternmost location in the history of the ECIR series. ECIR 2013 received a total of 287 submissions in three categories: 191 full papers, ...
Added: April 15, 2013
Savchenko A., Savchenko L. V., Lecture Notes in Artificial Intelligence 2014 Vol. 8536 P. 309-318
The problem of recognition of a sequence of objects (e.g., video-based image recognition, phoneme recognition) is explored. The generalization of the fuzzy phonetic decoding method is proposed by assuming the distribution of the classified object to be of exponential type. Its preliminary phase includes association of each model object with the fuzzy set of model ...
Added: July 25, 2014
Zhuk R., Ignatov D. I., Konstantinova N., Procedia Computer Science 2014 Vol. 31 P. 928-938
We propose extensions of the classical JSM-method and the Na ̈ıve Bayesian classifier for the case of triadic relational data. We performed a series of experiments on various types of data (both real and synthetic) to estimate quality of classification techniques and compare them with other classification algorithms that generate hypotheses, e.g. ID3 and Random ...
Added: June 9, 2014
Sharov A. G., / МегаВерсия. 2007. № -.
Словарь–справочник содержит более 150 терминов и понятий, а также описание методов и средств разработки, применяемых в информационном поиске.
Может использоваться в качестве справочника по терминологии, существующим прикладным системам и средствам обработки текстовой и фактографической информации.
Для специалистов, занимающихся разработкой технологических решений и программных продуктов в области информационного поиска и извлечения фактографических данных из текстовой информации, а также ...
Added: September 21, 2012
Bolotova L. S., Karasev A. A., Starykh V., Информационные технологии 2014 № 6 С. 3-10
This article is devoted to a solution of the problem of collecting and formalization of the expert knowledge representing incidents received during the operation of information systems and designed to address the problem of increasing the efficiency of their management. The existing approaches and tools of a solution of the problem of incident management, their ...
Added: October 28, 2014
Suvorova A., Смирнова К. Р., Будин Е. А. et al., Компьютерные инструменты в образовании 2018 № 3 С. 49-64
The article describes a student research project on predicting the class of a post on a social network based on its textual content. The features of the project are discussed as an integral part of the trajectory of teaching data analysis methods, including text analysis methods and tools that are often not included in machine ...
Added: January 28, 2019
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
Popkov Y., Popkov A., Dubnov Y. A., Информатика и ее применения 2020 Т. 14 № 4 С. 47-54
The work is devoted to development of methods for deterministic and randomized projection aimed at dimensionality reduction problems. In the deterministic case, the authors develop the parallel reduction procedure minimizing Kullback-Leibler cross-entropy target to condition on information capacity based on the gradient projection method. In the randomized case, the authors solve the problem of reduction ...
Added: January 26, 2021
Vlasenko D., Zaikin A., Zakharov D., Известия высших учебных заведений. Прикладная нелинейная динамика 2023 Т. 31 № 5 С. 661-669
Because the brain is an extremely complex hypernet of interacting macroscopic subnetworks, full-scale analysis of brain activity is a daunting task.Nevertheless,this task can be greatly simplified by analysing the correspondence between various patterns of macroscopic brain activity, forex ample,through functional magneticresonance imaging(fMRI) scans, and the performance of particular cognitive tasks or pathological states.The purpose of ...
Added: October 4, 2023
Savchenko A., Switzerland : Springer, 2016
A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence and the probabilistic neural network. An optimal approximate nearest neighbor search algorithm, which allows faster ...
Added: April 12, 2016
Kitov V. V., Вестник Российского экономического университета им. Г.В. Плеханова 2015 Т. 82 № 4 С. 148-152
Methods of classification by nature of decision-making divide on methods using global optimization (all training samples are used), and local optimization (only samples in the neighbourhood of the studied object are used). The perspective direction of research is combination of advantages of each approach in one integrated classifier. In article the method of combination of ...
Added: March 16, 2016
Starykh V., Башмаков А. И., Scientific and Technical Information Processing 2013 № 4 С. 27-31
For management of information resources (IR) the Russian educational system the uniform specification of metadata used for the description and classification of the information - and in educational portals, and in registration system, and in storehouses of data should be developed and accepted. In the present work specified concept of IR as object of cataloguing ...
Added: October 16, 2013
Goncharova E., Гайдель А. В., В кн. : Сборник трудов IV Международной конференции и молодёжной школы "Информационные технологии и нанотехнологии" (ИТНТ 2018). : Самара : Предприятие "Новая техника", 2018. С. 620-630.
To improve the performance of remote sensing images multiclass classification we propose two greedy algorithms of feature selection. The discriminant analysis criterion and regression coefficients are used as the measure of feature subset effectiveness in the first and second methods, respectively. The main benefit of the built algorithms is that they estimate not the individual ...
Added: November 9, 2018