Zobrazeno 1 - 10
of 161
pro vyhledávání: '"regression problem"'
Autor:
Yashin, Sergey N., Koshelev, Egor V., Denisov, Evgeniy Yu., Kozlova, Elena P., Polyanskaya, Viktoriya A.
Publikováno v:
Development of International Entrepreneurship Based on Corporate Accounting and Reporting According to IFRS
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025024 (2024)
ε -Support vector regression ( ε -SVR) is a powerful machine learning approach that focuses on minimizing the margin, which represents the tolerance range between predicted and actual values. However, recent theoretical studies have highlighted tha
Externí odkaz:
https://doaj.org/article/7cf22d818a9b4889a550b9170ad1882a
Publikováno v:
Entropy, Vol 25, Iss 7, p 1030 (2023)
In this paper, a kernel-free quadratic surface support vector regression with non-negative constraints (NQSSVR) is proposed for the regression problem. The task of the NQSSVR is to find a quadratic function as a regression function. By utilizing the
Externí odkaz:
https://doaj.org/article/c6c5d2fec6154ef492eeb497ef8cea80
Autor:
Veronica K.H. Chan, Christine W. Chan
Publikováno v:
Petroleum, Vol 6, Iss 4, Pp 329-339 (2020)
In the quest for interpretable models, two versions of a neural network rule extraction algorithm were proposed and compared. The two algorithms are called the Piece-Wise Linear Artificial Neural Network (PWL-ANN) and enhanced Piece-Wise Linear Artif
Externí odkaz:
https://doaj.org/article/86f81434e8254ba9b90253ee87b93b4a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ouadoudi Belabzioui, Hasnaa, Pontonnier, Charles, Dumont, Georges, Plantard, Pierre, Multon, Franck
Publikováno v:
Lecture Notes in Networks and Systems
DHM 2023-8th International Digital Human Modeling Symposium
DHM 2023-8th International Digital Human Modeling Symposium, Sep 2023, Antwerpen, Belgium. pp.1-10
DHM 2023-8th International Digital Human Modeling Symposium
DHM 2023-8th International Digital Human Modeling Symposium, Sep 2023, Antwerpen, Belgium. pp.1-10
International audience; In this paper, we propose learning architectures to emulate the inverse dynamics step in motion analysis. Indeed, the in situ motion analysis of a work situation is often based on noisy and/or incomplete motion data (video, de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::76a22098684ebe3df19eda069405b581
https://inria.hal.science/hal-04140086/document
https://inria.hal.science/hal-04140086/document
Publikováno v:
The Journal of Engineering (2020)
Most existing methods of motion assessment system used the contact sensor, infrared sensor, and depth sensor, and few works provided the solution of digital camera. To solve this problem, the authors propose a new motion assessment system based on li
Externí odkaz:
https://doaj.org/article/55451c14231f4709abeb10013cc06e0c