Results 21 to 30 of about 5,925,554 (260)
Cross Domain Mean Approximation for Unsupervised Domain Adaptation
IEEE Access, 2020 Unsupervised Domain Adaptation (UDA) aims to leverage the knowledge from the labeled source domain to help the task of target domain with the unlabeled data. It is a key step for UDA to minimize the cross-domain distribution divergence. In this paper, we
Shaofei Zang +4 more
doaj +1 more source
Cross-Well Lithology Identification Based on Wavelet Transform and Adversarial Learning
Energies, 2023 For geological analysis tasks such as reservoir characterization and petroleum exploration, lithology identification is a crucial and foundational task.
Longxiang Sun +5 more
doaj +1 more source
Cross-domain sentiment analysis model on Indonesian YouTube comment
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 A cross-domain sentiment analysis (CDSA) study in the Indonesian language and tree-based ensemble machine learning is quite interesting. CDSA is useful to support the labeling process of cross-domain sentiment and reduce any dependence on the experts ...
Agus Sasmito Aribowo +3 more
doaj +1 more source
Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer
International Journal of Crowd Science, 2023 The evaluation and prediction of credit risk have always been a research hotspot to ensure the healthy and orderly development of the credit market. Most researchers use deep learning to predict credit risk.
Zhida Shang +5 more
doaj +1 more source
A DSL for cross-domain security [PDF]
Proceedings of the 2012 ACM conference on High integrity language technology, 2012 Guardol is a domain-specific language focused on the creation of high-assurance network guards and the specification of guard properties. The Guardol system generates Ada code from Guardol programs and also provides specification and automated verification support. Guard programs and specifications are translated to higher order logic, then deductively
Hardin, David +3 more
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Cross-domain Systematic Literature Review dataset
, 2021 Systematic Literature Review (Cross-domain) dataset; includes primary texts corpus, criteria screening and mappings.
Veronika Plotnikova (6757304)
core +1 more source
Fine-Grained Sentiment Analysis of Cross-Domain Chinese E-Commerce Texts Based on SKEP_Gram-CDNN
IEEE Access, 2023 This study aims to use pre-trained models and an improved DPCNN model to extract useful information for sentiment analysis in an e-commerce dataset by combining a general domain text dataset.
Yanrong Zhang, Chengxiang Zhu, Yunxi Xie
doaj +1 more source
CoRR, 2023 We examine the current state of the cross-domain world, with particular focus on the protocols being used/planned for use by multi-domain users. We build on existing frameworks for analyzing how MEV is extracted, while also adding a new categorization of intrinsic-extractable value vs.
openaire +2 more sources
Cross-Domain Web Image Annotation [PDF]
2009 IEEE International Conference on Data Mining Workshops, 2009 In recent years, cross-domain learning algorithms have attracted much attention to solve labeled data insufficient problem. However, these cross-domain learning algorithms cannot be applied for subspace learning, which plays a key role in multimedia, e. g., web image annotation. This paper envisions the cross-domain discriminative subspace learning and
Tao, D, Si, S, Chan, KP
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Cross–layer cross–domain adaptation of mobile video services
EAI Endorsed Transactions on Mobile Communications and Applications, 2012 This paper deals with the analysis of user perceived visual quality for mobilemultimedia services. H.264/AVC is selected for low resolution video encoding, and a mobile UMTS network is considered for the access to services.
Jose Oscar Fajardo +2 more
doaj +1 more source