Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Junyou Ye"'
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
Publikováno v:
Entropy, Vol 25, Iss 7, p 1103 (2023)
For multi-class classification problems, a new kernel-free nonlinear classifier is presented, called the hard quadratic surface least squares regression (HQSLSR). It combines the benefits of the least squares loss function and quadratic kernel-free t
Externí odkaz:
https://doaj.org/article/15c715b85db74ec282fe5d32c2dd1dc6
Publikováno v:
Entropy; Volume 25; Issue 7; Pages: 1030
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
Publikováno v:
Information Sciences. 594:177-199
In this paper, for the regression problem, a novel kernel-free support vector regression based on the double well potential function (DWPSVR) is proposed.In fact, our model applies a type of kernel-free technique, which directly find a double well po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee675295b7df18e839ed0482963135df
https://doi.org/10.21203/rs.3.rs-2665458/v1
https://doi.org/10.21203/rs.3.rs-2665458/v1
Publikováno v:
International Journal of Intelligent Systems.
Multiview learning (MVL) frequently uses support vector machine- (SVM-) based models, but it can be difficult to select appropriate kernel functions and corresponding parameters. Then, by introducing kernel-free tricks, two multiview classifiers are
Publikováno v:
Intelligent Data Analysis. 25:265-281
We present a novel kernel-free regressor, called quadratic hyper-surface kernel-free least squares support vector regression (QLSSVR), for some regression problems. The task of this approach is to find a quadratic function as the regression function,
Publikováno v:
2021 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS).
With the rapid development of the IoT, the number of connected devices and the frequency of attacks are also increasing. For the uniqueness of technology, various firmware manufacturers use various file systems and nonstandard compression algorithms
Publikováno v:
Journal of Physics: Conference Series. 2066:012061
With the increase of social mobility, the relocation of work and living places has become the norm in people’s daily life. However, the current level of informatization in the handling industry is generally low. If users want to know the progress o