Originality/value This research presents a novel approach to rank aggregation that integrates graph theory and deep-learning. The author proposes a graph-based model to select the most effective subset for metasearch applications by constructing a similarity graph of base rankers. This innovative ...
3, we use GAT layers for feature aggregation instead of feeding the encoder outputs to a pooling layer. Specifically, we denote , , , as the feature map extracted by the encoder with width , height and expanding over channels, and different , indicates features with different receptive fields...
因此论文明确了 POI 之间的时间空间关系进行建模,时间间隔矩阵 Disentangled Self-Attention Aggregation 为了捕获签到序列的多层次规律,论文提出了一种拓展的 self-attention。具体来说,将每个部分分为一个单独的注意力头: User Preference Estimation 将偏好得分看作是通过和操作对不同成分的综合偏好 Model Optimization ...
The three comparisons CvT, CvP and TvP were then aggregated using desirability curves83to inform the ranking of genes of interest leading to resistance or to sensitivity. The desirability of a given gene is comprised between 0 and 1. A value of 1 denotes the most interesting genes according to...
论文提出 Graph Aggregation-and-Inference Network 一共构建两个图 1)heterogeneous mention-level graph, 2)Entity-level Graph (EG):通过合并在hMG 中引用同一实体的mention来构建,在此基础上,提出了一种新颖的路径推理机制。这种推理机制允许我们的模型推断实体之间的多跳关系。 论文的贡献 1)提出了 Graph Aggrega...
Iwasa Y, Andreasen V, Levin S (1987) Aggregation in model ecosystems. I. Perfect aggregation. Ecol Modelling 37:287–302.https://doi.org/10.1016/0304-3800(87)90030-5 ArticleGoogle Scholar Jeong H, Tombor B, Albert R et al (2000) The large-scale organization of metabolic networks. Nature...
\mathcal{L}(f)=\underbrace{\mathcal{L}_s\left(f, \mathcal{D}_l\right)}_{\text {supervised loss }}+\lambda \underbrace{\mathcal{L}_u\left(f, \mathcal{D}_u\right)}_{\text {unsupervised loss }}+\mu \underbrace{\mathcal{L}_r(f, \mathcal{D})}_{\text {regularization los...
Cascade Feature Aggregation for Human Pose Estimation 这篇paper目前是单人姿态估计领域基于MPII数据集PCKh@0.5评测指标位列第一的一篇2019CVPR的顶会文章, 由南京开发团队(平安科技所著). 主要有三个贡献组成: 1.提出了CFA(Cascade Feature Aggregation)级联特征聚合 2.通过融合不同阶段的结果, CFA可以进一步提高结...
4. MADDPG-based observation feature extraction and aggregation for the USNET topology control 4.1. Heuristic target assignment Due to the coupling relationship between the USNET’s target assignment and topology control which leads to a large solution space, we divide the optimization problem P1 into...
Zhang Y, Zhou G, Jin J, Zhao Q, Wang X, Cichocki A (2014) Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface. Int J Neural Syst 24:1450003. https://doi.org/10.1142/s0129065714500038 Article PubMed Google Scholar Schirrmeis...