Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Yang, Mingzhe"'
Generating preferred images using generative adversarial networks (GANs) is challenging owing to the high-dimensional nature of latent space. In this study, we propose a novel approach that uses simple user-swipe interactions to generate preferred im
Externí odkaz:
http://arxiv.org/abs/2404.19693
Teaching unbiased decision-making is crucial for addressing biased decision-making in daily life. Although both raising awareness of personal biases and providing guidance on unbiased decision-making are essential, the latter topics remains under-res
Externí odkaz:
http://arxiv.org/abs/2404.05228
The theory of causal emergence based on effective information(EI) suggests that complex systems may exhibit a phenomenon called causal emergence(CE), where the macro-dynamics demonstrate a stronger causal effect than the micro-dynamics. However, a ch
Externí odkaz:
http://arxiv.org/abs/2402.15054
Autor:
Yuan, Bing, Jiang, Zhang, Lyu, Aobo, Wu, Jiayun, Wang, Zhipeng, Yang, Mingzhe, Liu, Kaiwei, Mou, Muyun, Cui, Peng
Emergence and causality are two fundamental concepts for understanding complex systems. They are interconnected. On one hand, emergence refers to the phenomenon where macroscopic properties cannot be solely attributed to the cause of individual prope
Externí odkaz:
http://arxiv.org/abs/2312.16815
Quantifying emergence and modeling emergent dynamics in a data-driven manner for complex dynamical systems is challenging due to the lack of direct observations at the micro-level. Thus, it's crucial to develop a framework to identify emergent phenom
Externí odkaz:
http://arxiv.org/abs/2308.09952
To characterize the complex higher-order interactions among variables within a system, this study introduces a novel framework, termed System Information Decomposition (SID), aimed at decomposing the information entropy of variables into information
Externí odkaz:
http://arxiv.org/abs/2306.08288
Publikováno v:
In Earth-Science Reviews September 2024 256
Publikováno v:
In Mathematics and Computers in Simulation February 2024 216:301-317
Autor:
Yang Mingzhe, Meng Dan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The integration of educational information technology presents novel opportunities for revolutionizing traditional pedagogical approaches in college physical education (PE). This study leverages big data analytics through the application of the OpenP
Externí odkaz:
https://doaj.org/article/92e757c8f18d4fc8afa3bc8b77dac1b5
Autor:
Yang, Mingzhe, Baba, Yukino
Iterative machine teaching is a method for selecting an optimal teaching example that enables a student to efficiently learn a target concept at each iteration. Existing studies on iterative machine teaching are based on supervised machine learning a
Externí odkaz:
http://arxiv.org/abs/2006.15339