Titlebook: Neural Computing for Advanced Applications; Third International Haijun Zhang,Yuehui Chen,Yimin Yang Conference proceedings 2022 The Editor

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cognizant

Cross Elitist Learning Multifactorial Evolutionary Algorithm,ty of the proposed CEL-MFEA is evaluated by 9 classical multifactorial optimization problem test sets. Experimental results show that the CEL-MFEA is more competitive than MFEA algorithm and several popular multifactorial optimization algorithms.

記成螞蟻

magnanimity

Watemelon

COUCH

An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medica Experiment evaluation was performed based on two publicly available datasets KUAKE and CMID. The results demonstrated that the proposed EP-LSA strategy outperformed other baseline methods and demonstrated the effectiveness of the strategy.

POINT

An Improved Partition Filter Network for Entity-Relation Joint Extraction,ection information between two subtasks. The model consists of two Joint-Input-PFNs layers, and each layer accepts two inputs simultaneously and filters the other input according to one of them. The experiments are based on standard datasets WebNLG and NYT, and the effectiveness of the proposed mode

假裝是你

Path Planning for Mobile Robots Based on Improved A* Algorithm,and two-way path planning so that the algorithm can find a path faster in a complex space. In order to verify the effectiveness of the improved algorithm, the improved algorithm and other algorithms are simulated in Matlab. The simulation results show that the path planning efficiency of the algorit

彩色

,ML-TFN: Multi Layers Tensor Fusion Network for?Affective Video Content Analysis,ish. It takes advantage of tensor outer product and low-rank decomposition to capture the interactions between multiple modalities. In order to better model the inter-modality dynamics, a Multi Layers Fusion scheme is designed to fusion features at different layers in unimodal embedding subnetwork.

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