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HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
ACM Trans. Inf. Syst., 2021Short text classification has been widely explored in news tagging to provide more efficient search strategies and more effective search results for information retrieval. However, most existing studies, concentrating on long text classification, deliver
Tian-Chi Yang +5 more
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Supervised Learning for Classification
2005Supervised local tangent space alignment is proposed for data classification in this paper. It is an extension of local tangent space alignment, for short, LTSA, from unsupervised to supervised learning. Supervised LTSA is a supervised dimension reduction method.
Hongyu Li 0001 +2 more
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Non Supervised Classification Tools Adapted to Supervised Classification
1987Let X be some set of individuals. We consider the following two mappings: $$\begin{array}{*{20}{c}} {R:X \to {R^p}} \\ {\Omega :X \to \left\{ {{\omega _1}, \ldots ,{\omega _n}} \right\}} \end{array}$$ For an individual x, x ∈ X, R(x) is its representation (R p being the feature-space) and Ω(x) is its class.
R. Fages +3 more
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A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery
, 2021Accurate fault diagnosis is critical to the safe and reliable operation of rotating machinery. Intelligent fault diagnosis techniques based on deep learning have recently gained increasing attention due to their ability to rapidly and efficiently extract
Xin-Ya Wu +3 more
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Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification
IEEE transactions on multimediaMulti-view learning is a promising research field that aims to enhance learning performance by integrating information from diverse data perspectives.
Jie-Long Lu +5 more
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2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020
Recent developments in analytical technologies helped in developing applications for real-time problems faced by industries. These applications are often found to consume more time in the training phase.
V. N. Ganapathi Raju +4 more
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Recent developments in analytical technologies helped in developing applications for real-time problems faced by industries. These applications are often found to consume more time in the training phase.
V. N. Ganapathi Raju +4 more
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Optimization approaches to Supervised Classification
European Journal of Operational Research, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Supervised Classification of Geriatric Anxiety
Proceedings of the 2019 4th International Conference on Intelligent Information Technology, 2019Anxiety is a common symptom in elderly people and is associated with dementia. In this study, we apply the machine learning methods to classify anxiety patients based on GAI. We confirm the possibility of reducing the number of GAI questionnaires, which is to make GAI testing easier for the elderly.
Jae-Kyeong Sim +3 more
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Supervised Classification of Metabolic Networks
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018Networks represent a convenient model for many scientific and technological problems. From power grids to biological processes and functions, from financial networks to chemical compounds, the representation of case studies with graphs enables the possibility to highlight both topological and qualitative characteristics. In this work, we are interested
Ilaria Granata +5 more
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Building climate zoning in China using supervised classification-based machine learning
, 2020The planning, design and construction of buildings are all influenced by climate. Building climate zoning is significant for the formulation of building energy efficiency strategies in various regions.
Liu Yang +3 more
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