Using their complementary nature, this study designs a theory-based residual neural network (TB-ResNet) framework, which synergizes discrete choice models (DCMs) and deep neural networks (DNNs) based on their shared utility interpretation. The TB-ResNet framework is simple, as it uses a (未, ...
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 diversity of meanings of the term network mo
Kaplan等(2020),Scaling laws for neural language models.arXiv preprint arXiv:2001.08361 Katz(1987),Estimation of probabilities from sparse data for the language model component of a speech recognizer.IEEE transactions on acoustics, speech, and signal processing Kneser 和 Ney(1995),Improved backing-off...
* 题目: Thermal-Infrared Remote Target Detection System for Maritime Rescue based on Data Augmentation with 3D Synthetic Data* PDF: arxiv.org/abs/2310.2041* 作者: Sungjin Cheong,Wonho Jung,Yoon Seop Lim,Yong-Hwa Park* 其他: 12 pages* 题目: HEDNet: A Hierarchical Encoder-Decoder Network for...
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
based LGBM model provided the most accurate prediction of fractional drug release. Given the small size of the dataset (<4000 observations) and that most of the data points contain variables that are properties of the drug or polymer, it is perhaps not surprising that the neural network models...
The computational power of formal models for networks of spiking neurons is compared with that of other neural network models based on McCulloch Pitts neurons (i.e., threshold gates), respectively, sigmoidal gates. In particular it is shown that networks of spiking neurons are, with regard to ...
* 题目: Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis* PDF: arxiv.org/abs/2310.1418* 作者: Ke Liu,Feng Liu,Haishuai Wang,Ning Ma,Jiajun Bu,Bo Han* 其他: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023* 题目:...
In supervised learning, the parameters of the neural network are commonly derived by minimizing the model prediction error, which is often based on single-step target values to limit computational challenge. Therefore, it is necessary to differentiate between a priori and a posteriori testing. The ...
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 ...