Zobrazeno 1 - 10
of 1 148
pro vyhledávání: '"feature weighting"'
Autor:
Onder Tutsoy, Gizem Gul Koç
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract Background Blood test is extensively performed for screening, diagnoses and surveillance purposes. Although it is possible to automatically evaluate the raw blood test data with the advanced deep self-supervised machine learning approaches,
Externí odkaz:
https://doaj.org/article/ba9ab797ae3746a5ac4ec9d455bd2bbc
Publikováno v:
IEEE Access, Vol 12, Pp 64177-64192 (2024)
Real-world multiple or streaming tabular datasets, such as electronic health records from various sources and internet-of-things data generated from different devices, typically exhibit varied feature spaces depending on the datasets. Batch-mode lear
Externí odkaz:
https://doaj.org/article/ef30ef6d64c94f4d9d449e83fc4f2a3a
Publikováno v:
IEEE Access, Vol 12, Pp 8471-8484 (2024)
Social media represent a vital actor in our lives, often serving as a primary source of information, surpassing traditional sources. Among these platforms, the X-Platform, which used to be called Twitter, has emerged as a leading space for the exchan
Externí odkaz:
https://doaj.org/article/082021dadcdc40c58f94bc52e288caa6
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10657 (2024)
Keywords are used to provide a concise summary of the text, enabling the quick understanding of core information and assisting in filtering out irrelevant content. In this paper, an improved TextRank keyword extraction algorithm based on word vectors
Externí odkaz:
https://doaj.org/article/3b7782f46774485bb46d17bc348d09cd
Publikováno v:
Information, Vol 15, Iss 10, p 639 (2024)
Support vector regression (SVR) is a powerful kernel-based regression prediction algorithm that performs excellently in various application scenarios. However, for real-world data, the general SVR often fails to achieve good predictive performance du
Externí odkaz:
https://doaj.org/article/52d2e960db454381b36a6a69c5a57b72
Publikováno v:
Alexandria Engineering Journal, Vol 72, Iss , Pp 157-168 (2023)
This paper proposes two novel approaches based on feature weighting and model selection for building more accurate kNN ensembles. The first approach identifies the nearest observations using a feature weighting scheme concerning the response variable
Externí odkaz:
https://doaj.org/article/6a4db869516448d9831b6c001b963cb7
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper focuses on enhancing target tracking techniques for unmanned underwater vehicles (UUVs) used for deep-sea exploration, especially for the latest advances in digital technology. The article begins with an innovative UUV target tracking algo
Externí odkaz:
https://doaj.org/article/ce3252006f6f48fab3c948a0dc3ed585
Autor:
Jing Xiong, Yu Zhang
Publikováno v:
IEEE Access, Vol 11, Pp 51606-51616 (2023)
Accurate load forecasting is critical for reliable and efficient planning and operation of electric power grids. In this paper, we propose a unifying deep learning framework for load forecasting, which includes time-varying feature weighting, hierarc
Externí odkaz:
https://doaj.org/article/355b3e22a85148d994565206e69cb773
Autor:
Ashima Kukkar, Umesh Kumar Lilhore, Jaroslav Frnda, Jasminder Kaur Sandhu, Rashmi Prava Das, Nitin Goyal, Arun Kumar, Kamalakanta Muduli, Filip Rezac
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 1, Pp 483-498 (2023)
The process of assigning bugs to particular programmers is called bug assignment in software engineering. The programmer can fix the bugs by applying their knowledge. This research article presents an Ant colony optimization-based programmer recommen
Externí odkaz:
https://doaj.org/article/ffd77daeaaab4c0881c6c3b2d6b9f24d
A Novel Approach for Data Feature Weighting Using Correlation Coefficients and Min–Max Normalization
Publikováno v:
Symmetry, Vol 15, Iss 12, p 2185 (2023)
In the realm of data analysis and machine learning, achieving an optimal balance of feature importance, known as feature weighting, plays a pivotal role, especially when considering the nuanced interplay between the symmetry of data distribution and
Externí odkaz:
https://doaj.org/article/1f8b81e1fa5946ffbab36ba38feb812f