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pro vyhledávání: '"Shao, Qun"'
Recent years have witnessed a hot wave of deep neural networks in various domains; however, it is not yet well understood theoretically. A theoretical characterization of deep neural networks should point out their approximation ability and complexit
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d2f4f84f3b5f7f36de7487dbdab9bdc
http://arxiv.org/abs/2210.15279
http://arxiv.org/abs/2210.15279
The past decades have witnessed an increasing interest in spiking neural networks due to their great potential of modeling time-dependent data. Many empirical algorithms and techniques have been developed. However, theoretically, it remains unknown w
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ec84c6b05baf3ac8e88b0c4d1ab9e7f
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Multivariate time series (MTS) prediction is ubiquitous in real-world fields, but MTS data often contains missing values. In recent years, there has been an increasing interest in using end-to-end models to handle MTS with missing values. To generate
Autor:
Zhang, Shao-Qun, Zhou, Zhi-Hua
Mimicking and learning the long-term memory of efficient markets is a fundamental problem in the interaction between machine learning and financial economics to sequential data. Despite the prominence of this issue, current treatments either remain l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61c0195b6627d54344d4bc72924fbd9c
http://arxiv.org/abs/2111.06222
http://arxiv.org/abs/2111.06222
Complex-valued neural networks have attracted increasing attention in recent years, while it remains open on the advantages of complex-valued neural networks in comparison with real-valued networks. This work takes one step on this direction by intro
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b24a7c570143a6af6215b934385b37a
Autor:
Shao-Qun Zhang, Zhi-Hua Zhou
Current neural networks are mostly built on the MP model, which usually formulates the neuron as executing an activation function on the real-valued weighted aggregation of signals received from other neurons. This letter proposes the flexible transm
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e9ecdbb636b74a0f936aa6694c94cf2