scientific article; zbMATH DE number 7164713
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Publication:5214200
zbMath1434.68468arXiv1811.11922MaRDI QIDQ5214200
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Publication date: 7 February 2020
Full work available at URL: https://arxiv.org/abs/1811.11922
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of big data and data science (62R07) Computational aspects of data analysis and big data (68T09)
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Cites Work
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- Support-vector networks
- Distributed estimation of principal eigenspaces
- Quantile regression under memory constraint
- Quantile processes for semi and nonparametric regression
- Statistical performance of support vector machines
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- Adaptive Thresholding for Sparse Covariance Matrix Estimation
- A Massive Data Framework for M-Estimators with Cubic-Rate
- A split-and-conquer approach for analysis of
- Support Vector Machines
- Regression Quantiles
- Bootstrap Methods for Median Regression Models
- Stochastic Subgradient Estimation Training for Support Vector Machines
- Communication-Efficient Distributed Statistical Inference
- A Note on Quantiles in Large Samples
- Variable Selection for Support Vector Machines in Moderately High Dimensions
- Convexity, Classification, and Risk Bounds
- Methods of conjugate gradients for solving linear systems
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