Network theory provides an intuitively appealing framework for studying relationships among interconnected brain mechanisms and their relevance to behaviour. As the space of its applications grows, so does the
model can take into account the temporal and nonlinear characteristics of time series data, and can find complex data associations from a larger amount of data. In theory, the prediction model based on DNNs should have better performance and robustness than the traditional shallow network model. ...
The previously discussed equations provide the upper and lower boundaries of the projected output, represented as h max (\({p}_{b}\)) and h min (\({p}_{b}\)) respectively, based on the b-th input domain. These findings demonstrate how some parameters, namely, dry density (26.89%),...
comparisons between humans and neural network models based on illusory contours are less straightforward than those based on image distortions. The main obstacle is the limited samples of illusory contours. Most analyzed illusory contours are manually designed...
Then, it introduces some quantum language models in information retrieval and speech processing, as well as an end-to-end quantum language model based on neural network architecture. By analyzing the advantages and disadvantages of each quantum language model considered here, taking into account the ...
China has surpassed that of the USA (Fig.1C). Keywords co-occurrence analysis was conducted based on literature sourced from the Web of Science database. This analysis was performed to reflect the distribution of hot topics within the field. As shown in Fig.1D, the hot research topics in ...
A survey on explainable artificial intelligence (xai): Toward medical xai. IEEE Trans Neural Netw Learn Sys. 2021;32(11):4793–813. Article Google Scholar Ghorbani A, Wexler J, Zou J, Kim B. Towards automatic concept-based explanations. 2019. https://arxiv.org/abs/1902.03129. Selvaraju...
Mikolov等(2010),Recurrent neural network based language model. In Interspeech Nangia等(2020),CrowS-pairs: A chal- lenge dataset for measuring social biases in masked language models. In EMNLP Rabe 和 Staats(2021),Attention does not need o( n^2 ) memory. preprint arXiv:2112.05682. Rae等(20...
网络释义 1. 类神经网路模型 ... 8. 联想式机器( Associative Memory) 3.类神经网路模型(Neural Network Models) 4. 模糊集合论( Fuzzy Set Theory) ... aimm02.cse.ttu.edu.tw|基于2个网页 例句 释义: 全部,类神经网路模型 更多例句筛选
G-DeepSHAP is based on connections to the Shapley value, a concept from game theory that satisfies many desirable axioms. We make several important contributions: We propose a theoretical framework (Methods section Connecting DeepLIFT’s rules to the Shapley values) that connects the rules ...