Zobrazeno 1 - 10
of 1 263
pro vyhledávání: '"algorithm selection"'
Autor:
Pham Vu Hong Son, To Dieu Lam
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 8, Iss 3, Pp 109-134 (2024)
The facilities have conflicting purposes in the available space on the construction site, increasing the transportation flow of facilities, which is the cause of the increase in project construction costs. The research is applied to solve the constru
Externí odkaz:
https://doaj.org/article/8082406a874543cba68d27a4bce77e05
Publikováno v:
BizInfo, Vol 15, Iss 1, Pp 1-10 (2024)
Today, the algorithm selection paradigm has become one of the promising approaches in the field of optimization problems. Its main goal is to solve each case of an optimization problem with the most accurate algorithm using machine learning technique
Externí odkaz:
https://doaj.org/article/224f89cf11ec48dfaa6766e8c61b9d9d
Publikováno v:
Актуальные вопросы пожарной безопасности, Vol 20, Iss 2, Pp 33-38 (2024)
The article deals with the issues of the scope and sequence of fire-technical equipment tests. There is shown the difference in tests within product commissioning and during tests confirming the daily performance of products. There is considered the
Externí odkaz:
https://doaj.org/article/7137dfc92edc43feb9b1693dea85f6a0
Autor:
Radwa Elshawi, Sherif Sakr, Mouaz H. Al-Mallah, Steven J. Keteyian, Clinton A. Brawner, Jonathan K. Ehrman
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Accurately predicting patients' risk for specific medical outcomes is paramount for effective healthcare management and personalized medicine. While a substantial body of literature addresses the prediction of diverse medical conditions, exi
Externí odkaz:
https://doaj.org/article/bb047328836b4f9a805515a3d451355d
Autor:
Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak
Publikováno v:
Natural Language Processing Journal, Vol 8, Iss , Pp 100082- (2024)
Topic modeling is a prevalent task for discovering the latent structure of a corpus, identifying a set of topics that represent the underlying themes of the documents. Despite its popularity, issues with its evaluation metric, the coherence score, re
Externí odkaz:
https://doaj.org/article/ad068e9e2dfe42f5b9e81a94730ce8f5
Publikováno v:
IEEE Access, Vol 12, Pp 62177-62188 (2024)
In this study, we propose and develop a Machine Learning-based metasolver for the Multi-Agent Path Finding (MAPF) problem, with the aim of selecting the most suitable solver based on the specific characteristics of the problem and a user-provided tim
Externí odkaz:
https://doaj.org/article/33a6cb1454474ea6ab0eee3e18242ff5
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-19 (2023)
Abstract In practical data mining, a wide range of classification algorithms is employed for prediction tasks. However, selecting the best algorithm poses a challenging task for machine learning practitioners and experts, primarily due to the inheren
Externí odkaz:
https://doaj.org/article/d6991e426c184ecf9c9ad6010b42d73f
Autor:
Maxim Aliev, Sergey B Muravyov
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 33, Iss 2, Pp 331-334 (2023)
The problem of automated machine learning pipeline design for a given supervised learning task is usually solved by various optimization methods. However, this entails high time complexity. There is a solution called meta-learning, which consists in
Externí odkaz:
https://doaj.org/article/405c6659ef3c46ddacf5ac83eac7e621
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract The recent evolution of machine learning (ML) algorithms and the high level of expertise required to use them have fuelled the demand for non-experts solutions. The selection of an appropriate algorithm and the configuration of its hyperpara
Externí odkaz:
https://doaj.org/article/74763689a38a4a7587adef4a0da8d524
Publikováno v:
IEEE Access, Vol 11, Pp 45815-45825 (2023)
Unsupervised anomaly detection (AD) is critical for a wide range of practical applications, from network security to health and medical tools. Due to the diversity of problems, no single algorithm has been found to be superior for all AD tasks. Choos
Externí odkaz:
https://doaj.org/article/2f007eeb8bea4d4cbf9fde9598926115