Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Mussabayev, Rustam"'
Autor:
Mussabayev, Rustam, Mussabayev, Ravil
This paper presents the Variable Landscape Search (VLS), a novel metaheuristic designed to globally optimize complex problems by dynamically altering the objective function landscape. Unlike traditional methods that operate within a static search spa
Externí odkaz:
http://arxiv.org/abs/2408.03895
Autor:
Mussabayev, Rustam, Mussabayev, Ravil
This paper introduces a novel K-means clustering algorithm, an advancement on the conventional Big-means methodology. The proposed method efficiently integrates parallel processing, stochastic sampling, and competitive optimization to create a scalab
Externí odkaz:
http://arxiv.org/abs/2403.18766
Autor:
Mussabayev, Ravil, Mussabayev, Rustam
Publikováno v:
Mathematics 2024, 12, 1930
This paper introduces a novel formulation of the clustering problem, namely the Minimum Sum-of-Squares Clustering of Infinitely Tall Data (MSSC-ITD), and presents HPClust, an innovative set of hybrid parallel approaches for its effective solution. By
Externí odkaz:
http://arxiv.org/abs/2311.04517
Autor:
Mussabayev, Ravil, Mussabayev, Rustam
This paper presents a comparative analysis of different optimization techniques for the K-means algorithm in the context of big data. K-means is a widely used clustering algorithm, but it can suffer from scalability issues when dealing with large dat
Externí odkaz:
http://arxiv.org/abs/2310.09819
Publikováno v:
Pattern Recognition, Volume 137, 2023, 109269, ISSN 0031-3203
K-means plays a vital role in data mining and is the simplest and most widely used algorithm under the Euclidean Minimum Sum-of-Squares Clustering (MSSC) model. However, its performance drastically drops when applied to vast amounts of data. Therefor
Externí odkaz:
http://arxiv.org/abs/2204.07485
Autor:
Kozbagarov, Olzhas, Mussabayev, Rustam
Publikováno v:
In Information Sciences October 2024 681
Autor:
Mussabayev, Ravil1,2 (AUTHOR) r.mussabayev@satbayev.university, Mussabayev, Rustam2,3 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Jul2024, Vol. 12 Issue 13, p1930. 25p.
Autor:
Baktibayev, Daulet, Baigozha, Beibarys, Akhmetov, Iskander, Mussabayev, Rustam, Krassovitskiy, Alexander, Toleu, Alymzhan
Publikováno v:
In Procedia Computer Science 2024 238:579-586
We present several neural networks to address the task of named entity recognition for morphologically complex languages (MCL). Kazakh is a morphologically complex language in which each root/stem can produce hundreds or thousands of variant word for
Externí odkaz:
http://arxiv.org/abs/2007.13626
Publikováno v:
In Pattern Recognition May 2023 137