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pro vyhledávání: '"Yaofeng Su"'
Autor:
Yaofeng Su
Publikováno v:
Transactions of the American Mathematical Society. 375:4809-4848
We study the limit behavior of (non)stationary and random chaotic dynamical systems. Several (vector-valued) almost sure invariance principles for (non)stationary dynamical systems and quenched (vector-valued) almost sure invariance principles for ra
Autor:
Yaofeng Su, Leonid A. Bunimovich
Publikováno v:
Communications in Mathematical Physics. 390:113-168
Publikováno v:
2021 2nd International Conference on Information Science and Education (ICISE-IE).
Publikováno v:
Journal of Physics: Conference Series. 2363:012019
Name entity recognition (NER) is the foundation of a wide range of natural language processing (NLP) task in the domain of test identification. In this paper, we continue to train the pre-trained BERT model by unlabeled texts related to the domain of
Publikováno v:
2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC).
In reality, most complex networks are heterogeneous and large-scale, they contain a variety of entity types and entity relationships, and their community structure often has the characteristics of overlap, complexity and diversity. The existing commu
Publikováno v:
2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC).
LPA algorithm is an effective community detection algorithm. based on the original algorithm, a new algorithm based on node importance, similarity between nodes, influence of adjacent nodes and label propagation strategy is proposed in view of the ra
Autor:
Yaofeng Su
We establish almost sure invariance principles (ASIP), a strong form of approximation by Brownian motion, for non-stationary time series arising as observations on sequential maps possessing an indifferent fixed point. These transformations are obtai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43ca58e274c7859b40d4dff600fb5a86
http://arxiv.org/abs/1903.09758
http://arxiv.org/abs/1903.09758
Publikováno v:
Journal of Physics: Conference Series. 1732:012059
With the gradual deepening of the influence of artificial intelligence technology on all walks of life, enterprise IT operation and maintenance management is also undergoing changes in a more intelligent and advanced direction. In order to change the