Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Maoxiang Chu"'
Publikováno v:
IEEE Access, Vol 6, Pp 64237-64249 (2018)
Many versions of support vector machine with structural information exploit the useful prior knowledge to directly improve the algorithm's generalization. The prior knowledge embodies the structure of data, but it cannot fully reflect the local nonli
Externí odkaz:
https://doaj.org/article/5bb885001ee94f1aa3feea9a9ed88904
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0212361 (2019)
This paper formulates a support vector machine with quantile hyper-spheres (QHSVM) for pattern classification. The idea of QHSVM is to build two quantile hyper-spheres with the same center for positive or negative training samples. Every quantile hyp
Externí odkaz:
https://doaj.org/article/1b643d7f0df3460da27ff43a544b9db2
Publikováno v:
Complexity, Vol 2019 (2019)
A static control model is proposed based on wavelet transform weighted twin support vector regression (WTWTSVR). Firstly, new weighted matrix and coefficient vector are added into the objective functions of twin support vector regression (TSVR) to im
Externí odkaz:
https://doaj.org/article/23efb3e5a2b64bdea42df97de6a3c76e
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:1465-1482
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b8e5e25ac6a070dfab5a61209a2d670
https://doi.org/10.1007/s13042-022-01709-1
https://doi.org/10.1007/s13042-022-01709-1
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:5129-5143
In this article, an improved nonparallel support vector machine (INPSVM) is proposed for pattern classification. INPSVM inherits almost all advantages of nonparallel support vector machine (NPSVM), i.e., the kernel trick can be directly applied for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97a9cfc4602a8e565a97998c1b79455d
https://doi.org/10.1109/tnnls.2020.3027062
https://doi.org/10.1109/tnnls.2020.3027062
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d1a9579a5517cc88e6d1a836a3ec267
https://doi.org/10.1007/s11063-022-11067-2
https://doi.org/10.1007/s11063-022-11067-2
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 41:2923-2937
Basic oxygen furnace (BOF) steelmaking plays an important role in steelmaking process. Hence, it is necessary to study BOF steelmaking modeling. In this paper, a novel regression algorithm is proposed by using nonparallel support vector regression wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c5d7e1f613aeb6fc5747bceb1827585
https://doi.org/10.3233/jifs-210007
https://doi.org/10.3233/jifs-210007
Stochastic gradient support vector machine with local structural information for pattern recognition
Publikováno v:
International Journal of Machine Learning and Cybernetics. 12:2237-2254
Structural information is very important for improving the classification performance of classifiers. In order to increase the generalization performance of support vector machine (SVM) directly, several kinds of structured SVMs have been proposed. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d473716b74c0028e949437babaffabd4
https://doi.org/10.1007/s13042-021-01303-x
https://doi.org/10.1007/s13042-021-01303-x
Publikováno v:
Journal of Iron and Steel Research International. 28:303-315
Defect classification is the key task of a steel surface defect detection system. The current defect classification algorithms have not taken the feature noise into consideration. In order to reduce the adverse impact of feature noise, an anti-noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff7d63572992ed866f6499ceb3a9612a
https://doi.org/10.1007/s42243-020-00501-1
https://doi.org/10.1007/s42243-020-00501-1