Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Shao-Bo Lin"'
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 5 (2019)
Deep learning has been successfully used in various applications including image classification, natural language processing and game theory. The heart of deep learning is to adopt deep neural networks (deep nets for short) with certain structures to
Externí odkaz:
https://doaj.org/article/ccbe31daf2014df1a27a653ad84a9a1e
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 4 (2018)
The subject of deep learning has recently attracted users of machine learning from various disciplines, including: medical diagnosis and bioinformatics, financial market analysis and online advertisement, speech and handwriting recognition, computer
Externí odkaz:
https://doaj.org/article/9c904df4434d463dbbd3a03f4d617718
Publikováno v:
SIAM Journal on Numerical Analysis; 2024, Vol. 62 Issue 3, p1098-1118, 21p
Publikováno v:
SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 2, p951-983, 33p
Publikováno v:
INFORMS Journal on Computing. 34:3096-3116
Ensemble learning methods, such as boosting, focus on producing a strong classifier based on numerous weak classifiers. In this paper, we develop a novel ensemble learning method called rescaled boosting with truncation (ReBooT) for binary classifica
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 1, pA313-A337, 25p
Publikováno v:
IEEE transactions on neural networks and learning systems.
Training an interpretable deep net to embody its theoretical advantages is difficult but extremely important in the community of machine learning. In this article, noticing the importance of spatial sparseness in signal and image processing, we devel
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 147
In this paper, we propose an efficient boosting method with theoretical guarantees for binary classification. There are three key ingredients of the proposed boosting method: a fully corrective greedy (FCG) update, a differentiable squared hinge (als
Autor:
Shao-Bo Lin1 sblin1983@gmail.com, Jinshan Zeng2 jsh.zeng@gmail.com, Xiangyu Chang3 xiangyuchang@gmail.com
Publikováno v:
Neural Computation. Dec2017, Vol. 29 Issue 12, p3353-3380. 28p. 3 Charts.