Zobrazeno 1 - 10
of 914
pro vyhledávání: '"classification problem"'
Publikováno v:
Journal of Modelling in Management, 2023, Vol. 19, Issue 2, pp. 441-469.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-12-2022-0288
Publikováno v:
Applied Computer Science, Vol 20, Iss 2 (2024)
The International Classification of Diseases (ICD) is utilized by member countries of the World Health Organization (WHO). It is a critical system to ensure worldwide standardization of diagnosis codes, which enables data comparison and analysis acro
Externí odkaz:
https://doaj.org/article/6e69ca89716e402db1c399872e446e25
Autor:
Lang Wu
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2639-2652 (2023)
Abstract The support vector machine (SVM) method is an important basis of the current popular multi-class classification (MCC) methods and requires a sufficient number of samples. In the case of a limited number of samples, the problem of over-learni
Externí odkaz:
https://doaj.org/article/559b4adad5034ddc91ff082d838f3d67
Publikováno v:
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, Vol 2, Iss 43, Pp 20-33 (2023)
The article deals with the problem of improving the operation of airports and aircrafts. It is proposed to use machine learning models and technologies to predict flight delays. Much of the effort was directed at collecting qualitative data on both a
Externí odkaz:
https://doaj.org/article/83b9da4d1e454530aa956e99fc021013
Autor:
L. Makarchuk, T. Likhouzova
Publikováno v:
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, Vol 2, Iss 43, Pp 12-19 (2023)
The problem of unsuitability of available drinking water for safe consumption is considered. It is proposed to use models built by machine learning methods so that when analyzing water samples it is possible to focus on the main parameters so that li
Externí odkaz:
https://doaj.org/article/bb7f816a05e146289a3f026e8112ca0a
Autor:
Georgy A. Motz, Leonid L. Doskolovich, Daniil V. Soshnikov, Egor V. Byzov, Evgeni A. Bezus, Nikita V. Golovastikov, Dmitry A. Bykov
Publikováno v:
Photonics, Vol 11, Iss 8, p 780 (2024)
We consider the problem of designing a diffractive neural network (DNN) consisting of a set of sequentially placed phase diffractive optical elements (DOEs) and intended for the optical solution of several given classification problems at different o
Externí odkaz:
https://doaj.org/article/63be32e394a5494fb1867dd1721c5826
Publikováno v:
Technologies, Vol 12, Iss 7, p 113 (2024)
The paper addresses the issue of classification machine learning algorithm performance based on a novel probabilistic confusion matrix concept. The paper develops a theoretical framework which associates the proposed confusion matrix and the resultin
Externí odkaz:
https://doaj.org/article/1dc39147cb35448986687e41630a87d1
Publikováno v:
EURO Journal on Computational Optimization, Vol 12, Iss , Pp 100088- (2024)
Due to the continued success of machine learning and deep learning in particular, supervised classification problems are ubiquitous in numerous scientific fields. Training these models typically involves the minimization of the empirical risk over la
Externí odkaz:
https://doaj.org/article/505bebb3d6cb41b8b73795f758987d7d
Autor:
Petre Anghelescu
Publikováno v:
Symmetry, Vol 16, Iss 5, p 599 (2024)
This paper describes a solution for the image density classification problem (DCP) using an entirely distributed system with only local processing of information named cellular automata (CA). The proposed solution uses two cellular automata’s featu
Externí odkaz:
https://doaj.org/article/c4cdd1459a514689b985f5d492ceb896
Autor:
S. Hosseini, M. Khorashadizade
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 1, Pp 29-37 (2023)
High dimensionality is the biggest problem when working with large datasets. Feature selection is a procedure for reducing the dimensionality of datasets by removing additional and irrelevant features; the most effective features in the dataset will
Externí odkaz:
https://doaj.org/article/b4df71840fe44c1dbf9299e5a0d2d988