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Methodical systematic review of abstractive summarization and natural language processing models for biomedical health informatics: Approaches, metrics and …
Text summarization tasks are primarily very useful for decision support systems and provide
a source for useful data for training of bots as they can reduce and retain the useful …
a source for useful data for training of bots as they can reduce and retain the useful …
Supervised contrastive learning with corrected labels for noisy label learning
Deep neural networks have achieved significant success in the artificial intelligence
community and various downstream tasks. They encode images or texts into dense feature …
community and various downstream tasks. They encode images or texts into dense feature …
Centroid-based clustering validity: method and application to quantification of optimal cluster-data space
Abstract Evaluation of clustering validity to set up an optimal cluster-data space (CDS) is a
vital task in many fields related to data mining. Almost existing clustering validity indexes …
vital task in many fields related to data mining. Almost existing clustering validity indexes …
监督式主题模型及其应用综述.
王振彪， 徐贞顺， 刘纳， 张文豪… - Journal of Computer …, 2024 - search.ebscohost.com
主题模型是一种数据挖掘的方法, 可以自动地从大量文件或数据中提取潜在的模式或主题,
并将对应的数据分配到相应的模式或主题中. 主题模型已广泛应用于文本聚类或分类, 主题抽取 …
并将对应的数据分配到相应的模式或主题中. 主题模型已广泛应用于文本聚类或分类, 主题抽取 …