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Generative Models (GMs), particularly Large Language Models (LLMs), have garnered significant attention in machine learning and artificial intelligence for their ability to generate new data by learning the statistical properties of training data and
Externí odkaz:
http://arxiv.org/abs/2411.13867
Unsupervised multi-view representation learning has been extensively studied for mining multi-view data. However, some critical challenges remain. On the one hand, the existing methods cannot explore multi-view data comprehensively since they usually
Externí odkaz:
http://arxiv.org/abs/2309.11473
Multi-label classification can effectively identify the relevant labels of an instance from a given set of labels. However,the modeling of the relationship between the features and the labels is critical to the classification performance. To this end
Externí odkaz:
http://arxiv.org/abs/2309.11469
Publikováno v:
Neural Networks, vol. 164, pp. 439-454, 2023
Cross-network node classification (CNNC), which aims to classify nodes in a label-deficient target network by transferring the knowledge from a source network with abundant labels, draws increasing attention recently. To address CNNC, we propose a do
Externí odkaz:
http://arxiv.org/abs/2308.16470
Traditional segmentation methods for colonic polyps are mainly designed based on low-level features. They could not accurately extract the location of small colonic polyps. Although the existing deep learning methods can improve the segmentation accu
Externí odkaz:
http://arxiv.org/abs/2301.06892
Model transparency, label correlation learning and the robust-ness to label noise are crucial for multilabel learning. However, few existing methods study these three characteristics simultaneously. To address this challenge, we propose the robust mu
Externí odkaz:
http://arxiv.org/abs/2301.03283
Fuzzy systems (FSs) have enjoyed wide applications in various fields, including pattern recognition, intelligent control, data mining and bioinformatics, which is attributed to the strong interpretation and learning ability. In traditional applicatio
Externí odkaz:
http://arxiv.org/abs/2210.16730
Multi-view data are commonly encountered in data mining applications. Effective extraction of information from multi-view data requires specific design of clustering methods to cater for data with multiple views, which is non-trivial and challenging.
Externí odkaz:
http://arxiv.org/abs/2208.14450
Publikováno v:
Agricultural Water Management, Vol 301, Iss , Pp 108920- (2024)
Soke Plain, located within the Büyük Menderes River Basin is one of the highest producers of cotton in Türkiye. The overall irrigation water supply is based on scarce conventional water resources that are being depleted at an increasing pace due t
Externí odkaz:
https://doaj.org/article/12f609739bb44970a2f62387e6fb30d5
Publikováno v:
In Neurocomputing 28 September 2024 599