Titlebook: Neural Information Processing; 29th International C Mohammad Tanveer,Sonali Agarwal,Adam Jatowt Conference proceedings 2023 The Editor(s) (

天賦

Two-Stage Multilayer Perceptron Hawkes Processron Hawkes Process (TMPHP). The model consists of two types of multilayer perceptrons: one that applies MLPs (learning features of each event sequence to capture long-term dependencies between different events) independently for each event sequence, and one that applies MLPs to different event seque

重疊

Hawkes Process via?Graph Contrastive Discriminant Representation Learning and?Transformer Capturing ntrastive Discriminant representation Learning and Transformer capturing long-term dependencies(GCDRLT) is the two-stage pipeline to enhance the capacity of hidden representation both on long-term dependencies and discriminant feature extraction. Experimental results on multiple datasets validate th

Dysplasia

合同

Data Representation and?Clustering with?Double Low-Rank Constraints the rank of input data and representation coefficients to extract the multi-subspace structure underlying the observed data. The experimental results show that the proposed method has superior performance in the clustering experiments for each dataset.

狂熱文化

Etymology

O,GPT: A Guidance-Oriented Periodic Testing Framework with?Online Learning, Online Testing, and?Onli the rationality of all selected questions. Finally, to set up the online feedback, we test O.GPT on an on-line simulated environment which can model qualitative development of knowledge proficiency. The results of our experiment conducted on two well-established student response datasets indicate t

CHIDE

AFFSRN: Attention-Based Feature Fusion Super-Resolution Networkutational cost and thus improve the network’s performance, we propose the novel deep feature fusion group (DFFG) for feature fusion. Experimental results show that this method achieves a better peak signal-to-noise ratio (PSNR) and computation overhead than the existing super-resolution algorithms.