P. Hu , W. C. Lau, "A survey and taxonomy of graph sampling," Computer Science, Aug. 2013.P. Hu and W. C. Lau. A survey and taxonomy of graph sampling. CoRR, abs/1308.5865, 2013.P. Hu, W. C. Lau, A survey and taxonomy of graph sampling, e-print arXiv:1308.5865....
1、集成到学习算法中: 代数方程和不等式可以通过附加损失项或更一般地通过约束问题公式集成到学习算法中。将代数方程作为基于知识的损失项集成到学习目标函数中,这些以知识为基础的术语衡量了与例如物理定律的潜在一致性。这种扩展损失通常被称为物理损失或混合损失,它促进了从数据和先验知识中学习。除了精确公式的测量不...
来自综述中的定义:“we use the term feature and representation interchangeably, with each referring to a vector or tensor representation of an entity, be it an image, audio sample, individual word, or a sentence. A multimodal representation is a representation of data using information from multipl...
O. Riedl, “Learning knowledge graphbased world models of textual environments,” arXiv, 2021. [34] X. Zhu, Z. Li, X. Wang, X. Jiang, P. Sun, X. Wang, Y. Xiao, and N. J. Yuan, “Multi-modal knowledge graph construction and application: A survey,” arXiv, 2022. [35] P...
We provide an overview of the research within Data Center Networks (DCNs). • We present the state-of-the-art energy efficiency techniques for a DCN. • The survey elaborates on the DCN architectures (electrical, optical, and hybrid). • We also focus on traffic management, characteriza...
Graph Embedding based-methods, GNN-based methods, and Deep Graph Kernel-based methods. Additionally, we sub-categorize the models based on their properties. Table2shows our proposed taxonomy, with some example models for each category as well as the relevant applications. In this survey, we will...
一、模态的定义 Modality:模态,某事发生或经历的方式 Multimodal:多模态 natural language:which can be both written or spoken 自然语言 visual signals: which are often represented with images or videos 视觉图片以及视频 vocal signals: which encode sounds and para-verbal information such as prosody and voc...
Shields, B. J. et al. Bayesian reaction optimization as a tool for chemical synthesis.Nature590, 89–96 (2021). ArticleADSCASPubMedGoogle Scholar von Rueden, L. et al. Informed machine learning - a taxonomy and survey of integrating prior knowledge into learning systems....
The goal of this work is to help researchers and practitioners in this regard by proposing a survey and taxonomy of the available simulators modelling clouds, IoT and specifically fogs, which is the latest, currently still forming paradigm. The main contributions of this study are our novel ...
模型压缩率的个性化调整。 Multimodal local training. Multimodal FedAvg 参考文献: Multimodal Machine Learning: A Survey and Taxonomy Multimodal Federated Learning on IoT Data Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending...