Titlebook: Knowledge Science, Engineering and Management; 15th International C Gerard Memmi,Baijian Yang,Meikang Qiu Conference proceedings 2022 The E

愉快么

DISEL: A Language for Specifying DIS-Based Ontologiesranslation of its ontologies to other ontology languages. We also introduce . tool, which has several capabilities such as editing and visualising ontologies. It can guide the specifier in providing the essential elements of the ontology, then it automatically produces the full . ontology specification.

有恶意

放气

Crater

A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteoroloin knowledge (e.g., clearness index, numerical weather prediction, and short-wave radiation) is integrated into the decoder for forecasting solar PV power. A case study is conducted using the dataset collected from real-world PV plants in different weather conditions. The experiment results demonstr

种属关系

Unsupervised Person Re-ID via Loose-Tight Alternate Clustering Loose and Tight Bounds to alleviate two kinds of clustering errors. Based on these bounds, a novel Loose-Tight alternate clustering strategy is adopted to optimize the visual model iteratively. Furthermore, a quality measurement based learning method is proposed to mitigate the side-effects of the

debunk

Cloudburst

Deep User Multi-interest Network for Click-Through Rate Predictionation for each user who interacted with the candidate item. Then, attention mechanism is introduced to adaptively aggregate these interest representations to obtain user-user interest, which reflects the collaborative filtering information among users. Extensive experimental results on public real-w

Evolve

Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers RT into a 6-layer model and evaluate it on the GLUE dataset. Experimental results show that our review approach is not only able to outperform other existing techniques, but also outperform the original model on partial datasets.

scrape

Topic and Reference Guided Keyphrase Generation from Social Mediaduce new topic-aware hierarchical attention and copy mechanism, which directly copies appropriate words from both the source post and its references. Experiments on two public datasets demonstrate that TRGKG achieves state-of-the-art performance.

languid

A GAT-Based Chinese Text Classification Model: Using of Redical Guidance and Association Between Chaures in text, this paper designs a model with context-awareness, which is capable of collecting information at a distance. Finally, we conduct extensive experiments, and the experimental results not only prove the superiority of our model, but also verify the effectiveness of the radical and GAT mod