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1 |
Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning
Enthalten in International journal of machine learning and cybernetics 30.1.2021: 1-13
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2 |
A Novel Angle-Based Learning Framework on Semi-supervised Dimensionality Reduction in High-Dimensional Data with Application to Action Recognition
Enthalten in The Arabian journal for science and engineering 23.9.2020: 1-13
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3 |
A novel dictionary learning method based on total least squares approach with application in high dimensional biological data
Enthalten in Advances in data analysis and classification 2.9.2020: 1-23
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4 |
Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values
Enthalten in Journal of revenue and pricing management 14.3.2020: 1-10
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5 |
Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data
Enthalten in Memetic computing 22.6.2016: 1-11
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6 |
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction
Enthalten in Soft computing 8.7.2015: 1-14
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7 |
Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data
Enthalten in Machine learning Bd. 74, 2.12.2008, Nr. 2, date:2.2009: 191-234
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8 |
Learning complex dependency structure of gene regulatory networks from high dimensional microarray data with Gaussian Bayesian networks
Enthalten in Scientific reports Bd. 12, 4.11.2022, Nr. 1, date:12.2022: 1-18
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9 |
Learning State Transition Rules from High-Dimensional Time Series Data with Recurrent Temporal Gaussian-Bernoulli Restricted Boltzmann Machines
Enthalten in Human-centric intelligent systems Bd. 3, 20.6.2023, Nr. 3, date:9.2023: 296-311
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10 |
Multisite learning of high-dimensional heterogeneous data with applications to opioid use disorder study of 15,000 patients across 5 clinical sites
Enthalten in Scientific reports Bd. 12, 30.6.2022, Nr. 1, date:12.2022: 1-12
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